Jobs

Technology

Software Engineer - LLM Applications and AI Agents

Location

:

San Jose

Employment Type

:

Regular

Job Code

:

A00574A

Responsibilities

Join us in pushing the boundaries of AI technology and creating the next generation of intelligent systems that will transform data platforms. We are seeking a highly skilled and innovative Software Engineer to join our cutting-edge Agentic Engine team. As part of a division of the data platform team which focuses on LLM adoption, you will have the opportunity to work with state-of-the-art AI technologies and design architectures that apply LLMs to real-world industry challenges in data development platform areas. This role puts you at the forefront of AI innovation, shaping the future of intelligent systems.

Responsibilities:

Stay abreast of the latest advancements in AI technologies, particularly in LLMs, Retrieval-Augmented Generation (RAG), and AI agents
Develop expertise in data development platforms and drive technological innovation within the team
Design and implement sophisticated architectural solutions for integrating LLM technology into business applications
Collaborate with cross-functional teams to create scalable and efficient AI-powered systems
Contribute to the development of AI agents capable of complex reasoning and task execution
Qualifications

Minimum Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related technical field;
Minimum of 3 years of experience in software engineering, with a focus on AI/ML applications
Demonstrated experience in complex system design and architecture, particularly in AI-driven environments
Strong proficiency in at least one of the following programming languages: Python, Java, C++, Golang, or Rust
Experience with big data processing and distributed computing systems
Excellent problem-solving skills and ability to think creatively in a fast-paced environment
Str

OVERVIEW OF THE COMPANY

Fox Corporation

Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

JOB DESCRIPTIONFOX Forward Deployed is an 12-month rotational program that embeds early-career engineers inside the teams responsible for FOX’s biggest, most-watched moments.

You will complete two six-month deployments across Streaming, Sports, News, AI systems, and shared platforms. You will contribute directly to production systems used by millions.

This is not a shadow program.

ABOUT THE ROLE

As a Software Engineer in the FOX Forward Deployed program, you will rotate across two engineering teams embedded within core business units across Sports, News, FOX One, AI, Revenue Platforms, and shared platform organizations. You will work inside the teams that own the systems, partnering directly with engineers, product leaders, AI specialists, and business stakeholders to solve real operational problems and ship alongside them.

You will design, build, and deploy production systems that power consumer facing products and enterprise platforms across the FOX ecosystem. From live sports and breaking news to AI systems and shared infrastructure, you will operate in high visibility environments where performance, reliability, scale, deadlines, and real time delivery are non-negotiable. Systems must perform under pressure, and your work will have a measurable impact.

You will operate in an AI native engineering environment leveraging agentic development platforms such as Claude Code, Codex, Replit, Loveable, OpenHands, Letta, Devin, Kiro, and Windsurf, alongside enterprise AI and data platforms including AWS

About Influur

We're building the world's first viral agent. An AI purpose built for influencer marketing.

Not a tool. Not a platform. An autonomous agent that goes from "I need this campaign to break" to "50 influencers live next week" with minimal human intervention.

Why this matters: We have 3 years of proprietary data on what makes influencer content go viral. Warner, Sony, and Universal trust us to break their biggest artists. We're backed by the biggest names in entertainment including Sofia Vergara, Karol G, Tommy Mottola, and Tier 1 VCs like Point72 Ventures. We're not building for hypothetical use cases. We're shipping production AI that drives millions in revenue today.

Why we'll win: We have what no one else has: both the data and the distribution. We have proprietary data on thousands of influencers and what makes content go viral, plus direct relationships with the influencers themselves. In the AI era, having both is the moat. Everyone else has one or the other. We have both.

Why now: AGI agents will replace middle level work by 2027. We have a 12 to 18 month window before the market floods with agents. We're building the category defining social media viral agent right now.

What we're looking for: Elite builders who want full ownership, not a narrow role. This is not a “data engineer” job in the traditional sense. It’s an opportunity to own the full lifecycle: from raw video ingestion to the decisions made by autonomous AI agents in production. We offer meaningful equity to people who want to define the future of agentic AI and own a real piece of it.

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Your SkillsetExpert-level Python engineering with clean, modular, reusable code.Experience building scalable data pipelines for unstructured data (video, audio, multimodal).Strong understanding of video/sound processing (codecs, frame extraction, batch & streaming workflows).Hands-on experience building AI agents: memory, planning, tool use, and execution loops.Ability to

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.About the job you’re considering We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.Your role Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows. Develop and maintain automated test suites for UI, API, and data layers across multiple platforms. Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines. Build and manage test data pipelines for diverse applications and environments. Create and maintain CI/CD pipelines to support continuous testing and deployment. Identify and resolve environmental and data dependencies for comprehensive E2E testing. Lead defect triage, backlog grooming, and root cause analysis sessions. Your skills and experience Around 1 year of experience working in or supporting AI‑based testing environments, or strong interest with hands‑on exposure through projects or coursework. Working knowledge of at least one programming or scripting language such as Python (preferred), Java, or JavaScript. Basic to intermediate experience with test automation tools like Selenium, Playwright, Cypress, or similar frameworks. Familiarity with API testing concepts and tools such as Postman, RestAssured, or equivalent.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Agentic AI Full Stack Software Engineer III- Java/Python/React at JPMorganChase within the Asset and Wealth Management Technology Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Design, develop, test, and deploy external client-facing web applications that embed Generative AI and Agentic AI capabilities to enhance automation, personalization, and decision-makingBuild React-based UI experiences for LLM-powered workflows (e.g., chat, search, document Q&A, summarization, assisted advisory), emphasizing usability, accessibility, and performanceImplement and integrate agentic AI workflows that support multi-step task execution, tool/API orchestration, and defined human-in-the-loop controls and guardrailsDevelop and maintain front-end architecture (component patterns, state management, routing, error boundaries) and collaborate on UX patterns for AI features (streaming responses, citations, traceability, retry/fallback flows)Implement Model Context Protocol (MCP) integrations to enable AI agents to securely connect to and interact with external data sources, APIs, and enterprise tools in real timeBuild and maintain scalable data pipelines and data processing workflows for both structured and unstructured data, leveraging cloud services to support LLM-based features and real-time client interactionsDesign and develop robust APIs and microservices to integrate AI/LLM models into client-facing platforms, ensuring seamless, low-latency experiencesDevelop secure, high-quality, production-grade code that powers client-facing applications, ensuring relia

Overview of the Role:

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

We are seeking a highly skilled and experienced Senior AI/ML & Agentic AI Engineer with a robust background in Python, Java, database technologies, cloud platfor

Agentic AI Machine Learning Engineer
The Opportunity:

As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.

On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments.

Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization?

Join us. The world can't wait.

You Have:
3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data3+ years of experience working in cloud environments, including AWS and Azure2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and KubernetesExperience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools

Responsibilities
Peraton Labs is seeking a Senior Systems Engineer to define, integrate, and mature the technical foundations of an Agentic AI platform that enables rapid development of secure, AI-powered applications through natural language interfaces, agent builders, and mission-level workflow orchestration.

This role will help bridge product vision, user needs, platform architecture, software implementation, and operational deployment. The ideal candidate will bring strong systems engineering experience with the ability to define requirements, decompose complex problems, align multi-disciplinary teams, and ensure that Agentic AI capabilities are implemented as part of a coherent, scalable, and secure system.

This position is especially well suited for someone who can operate across architecture, integration, technical planning, mission workflows, and end-to-end system behavior in emerging AI-enabled environments.

Key responsibilities may include, but are not limited to:

Design, decompose, and manage system requirements for an Agentic AI platform spanning user interaction, orchestration, platform services, AI enablement, security, and mission integration
Support end-to-end system design across front-end backend, agent orchestration, data flows, access control, and supporting platform services
Translate product objectives and mission use cases into actionable technical requirements, interfaces, workflows, and engineering priorities
Develop system-level architecture views, interface definitions, integration concepts, and functional decomposition for platform capabilities
Partner closely with software engineers, AI/ML researchers, product stakeholders, and platform engineers to ensure technical alignment across system components
Analyze and define workflows involving human users, agents, models, tools, external data/services, and system guardrails
Help establish technical approaches for agent orchestration, context handling, tool integrat

Job Details:

Job Description: About the role

As an AI Software Engineer - Agentic AI System you will contribute to building infrastructure and tooling that supports an endtoend evaluation ecosystem for agentic AI frameworks. This role is ideal for engineers who are eager to grow their skills across deployment, data, and AI systems while working closely with experienced engineers.

This is a handson engineering role for individuals who enjoy learning new systems quickly, working across multiple layers of the stack, and contributing where the team needs them most.

Key Responsibilities

Build and maintain scalable deployment and orchestration systems for AI workloadsDevelop data pipelines, dashboards, and observability toolingIntegrate and evaluate AI agent frameworks and modelserving systemsDesign and automate evaluation pipelines for performance, reliability, and regression detectionCollaborate with global engineering teams to improve AI evaluation tooling

What Success Looks Like

Quickly ramping up across different focus areas and contributing independentlyReliable deployment and evaluation of AI agent frameworksClear, actionable dashboards and reports for stakeholdersStable, welltested, and automated evaluation pipelinesEffective collaboration with internal and external engineering partners

Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.

See Intel Benefitsfor more details.

Qualifications:You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Note:

For information on Intel's immigration sponsorship guidelines, please see

Intel U.S. Immigration Sponsorship Information

Minimum Qualifications and Experience:

Bachelor's degree (B.S. or B.A.) in Computer Science, Electrica

Penetration Tester

Overview

We are seeking a Penetration Tester to design, coordinate, and execute a modern, scalable penetrationtesting program. This role will unify penetrationtesting activities across network, application, and cloud environments, ensuring consistent execution, standardized reporting, and alignment with enterprise security and riskmanagement objectives.

The Pen Tester will also guide the integration of automated and AIassisted testing capabilities into the organization's Agentic AI architecture, improving speed, accuracy, and repeatability of offensive security operations.

You Will:

Program Leadership & Governance
• Consolidate adhoc penetrationtesting efforts into a unified enterprise pentesting program with standard methodologies, processes, and reporting.
• Establish and maintain Rules of Engagement (ROE) for all testing activities, defining scope, communication protocols, safety constraints, escalation paths, and evidencehandling guidelines.
• Coordinate and supervise all test execution activities, including internal teams, contractors, and thirdparty assessors.

Technical Execution & Delivery
• Plan and execute network, application, and cloud penetration tests under the approved ROE.
• Combine manual tradecraft with AIassisted offensivesecurity tooling to increase depth and coverage of assessments.
• Produce detailed evidence packages, exploitation artifacts, and findings reports that support remediation and rootcause analysis.
• Work with product teams, system owners, and DevSecOps/Cloud teams to validate findings and retest fixes.

Tooling & AI Integration
• Integrate penetrationtesting tools, automation frameworks, and exploitdevelopment workflows into the Agentic AI security architecture.
• Recommend tooling enhancements, AIdriven analysis approaches, and automation opportunities.

Risk & Vulnerability Management
• Conduct technical risk assessments across systems to determine likelihood, impact, and exploitation feasibility.
• Analy

About The Team

The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI technologies to find their next home. We aim to redefine the home shopping and transaction experience by providing an always-on assistant that integrates deep user insights and sophisticated reasoning. By embedding domain knowledge and specialized expertise in these assistants, we empower home buyers and real estate professionals to gain efficiency while maintaining Zillow's competitive edge. This lean, customer-focused team comprises scientists and engineers working together to deliver a delightful customer experience. We strongly believe in accountability, collaboration, and transparency.

About The Role

Zillow is looking for a Principal Machine Learning Engineer on the Agentic AI team to develop advanced multimodal foundational technologies. They will be hands-on in prototyping ideas, evaluating, and deploying models to Zillow's highly scalable infrastructure platforms. They’ll be developing perception and language understanding, deep reasoning, and reinforcement learning to handle AI agent decision-making.

As a Principal Machine Learning Engineer on the Agentic AI team, you will:

Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions Leverage advanced GenAI models including reasoning models, real-time voice API, etc, to build agentic prototypes and later on convert them into product-level agentic skills and deploy to users. Have the mentality of “build, learn, and pivot”, and hold the high bar of shipping into production. Mentor and guide engineers in using the right technologies for agentic AI solutions and foster a culture of innovation and responsible AI usage Distill complex research findings and system designs into actionable insights for diverse audiences—including executives Remain o

At LeoTech, we are passionate about building software that solves real-world problems in the Public Safety sector. Our software has been used to help the fight against continuing criminal enterprises, drug trafficking organizations, identifying financial fraud, disrupting sex and human trafficking rings and focusing on mental health matters to name a few.

Role
• This is a remote, WFH role.
• As an AI/LLM Evaluation & Alignment Engineer on our Data Science team, you will play a critical role in ensuring that our Large Language Model (LLM) and Agentic AI solutions are accurate, safe, and aligned with the unique requirements of public safety and law enforcement workflows. You will design and implement evaluation frameworks, guardrails, and bias-mitigation strategies that give our customers confidence in the reliability and ethical use of our AI systems. This is an individual contributor (IC) role that combines hands-on technical engineering with a focus on responsible AI deployment. You will work closely with AI engineers, product managers, and DevOps teams to establish standards for evaluation, design test harnesses for generative models, and operationalize quality assurance processes across our AI stack.

Core Responsibilities
• Build and maintain evaluation frameworks for LLMs and generative AI systems tailored to public safety and intelligence use cases.
• Design guardrails and alignment strategies to minimize bias, toxicity, hallucinations, and other ethical risks in production workflows.
• Partner with AI engineers and data scientists to define online and offline evaluation metrics (e.g., model drifts, data drifts, factual accuracy, consistency, safety, interpretability).
• Implement continuous evaluation pipelines for AI models, integrated into CI/CD and production monitoring systems.
• Collaborate with stakeholders to stress test models against edge cases, adversarial prompts, and sensitive data scenarios.
• Research and integrate third-party evaluation framew

Kai is the AI company rebuilding cybersecurity for the machine-speed era. Founded by second time founders and trusted by Fortune 500 enterprises, Kai is building a future where security has no categories, no silos, and no human speed bottlenecks. The Kai Agentic Platform replaces fragmented, human-limited workflows with agentic AI systems that continuously contextualize, assess, reason, and execute security work at the speed of thought - making human defenders, superhuman.

Why Kai?

Well-funded: With $125M raised, we have the capital, runway, and resolve to rebuild cybersecurity from first principles.Proven: We've earned the trust of Fortune 500 and Global 1000 companies, and we're just getting started. Their confidence in Kai reflects what we've built: an AI-powered cybersecurity platform that performs at the scale and speed the enterprise demands.Experienced founders: Our founding team consists of second-time entrepreneurs, each with over 20 years of experience in the cybersecurity industry. Their proven expertise and vision drive our ambitious goals.World-class leadership team: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s most influential companies, ensuring top-tier mentorship, direction, and vision.Frontier AI Applied Research Team: Our researchers operate at the leading edge of agentic AI systems, translating breakthrough capabilities into real-world cybersecurity applications.Generous compensation: We offer highly competitive salaries, equity options, and a supportive work environment. Your contributions will be valued and rewarded as we grow together.

About The Role

We are building an AI-powered cybersecurity platform that helps enterprises manage vulnerabilities at scale. Our AI team has built working services that analyze container images, standardize package data, extract natural language filters, and assess package maintenance — all powered by LLMs and intelligent automation.

Now we need an experience

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Salary:

$108,000.00 - $148,500.00

Location:

Austin,TX, Santa Clara,CA

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Role Summary

The AI Security Engineer is responsible for securing the enablement and use of AI, GenAI, LLM, and agentic technologies across the enterprise, balancing business velocity with protection of Applied Materials’ intellectual property, sensitive data, and customer trust.

This role drives AI security governance, risk management, technical guardrails, and operational oversight for AI systems and AI‑integrated applications across the full lifecycle—from intake and design through deployment, monitoring, and incident response. The role serves as a key focal point for AI security execution in the US and partners closely

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:
Regular

Language Fluency: English (Required)

Work Shift:
1st shift (United States of America)

Please review the following job description:
• **This position is 5 days a week in the Charlotte Office***

The Senior AI QA Engineer owns the quality validation of AI-enabled applications, agent workflows, and non-deterministic outputs in production-style enterprise environments.

This role combines the rigor of senior software quality engineering with the specialized evaluation discipline required for AI systems where correctness, completeness, hallucination risk, bias, safety, and reliability must all be measured explicitly.

This is a hands-on role focused on testing AI-powered products, agent-integrated workflows, prompt-driven solutions, and enterprise automations. The engineer designs and executes quality strategies spanning functional testing, regression testing, API validation, UI verification, output scoring, hallucination detection, evaluation dataset design, drift monitoring, and deployment gate readiness for agentic systems.

The role operates within the Forge model: production-first, governance-aware, and evidence-driven. Daily work includes defining test approaches for AI workflows, building automated test assets, validating prompts and outputs, running scenario-based and adversarial checks, partnering with engineering to remediate defects, and ensuring AI-enabl

IMC is embedding agentic AI directly into the developer workflow for our production-critical systems. As a member of the Agentic AI engineering team, you’ll help build agents, MCP servers, and evaluation loops that make AI-generated code reliable, auditable, and fast to ship. You’ll work closely with experienced engineers and platform teams to deliver pragmatic, high-impact AI integrations at scale.

What You’ll Do
• Contribute to the platform by implementing agents, MCP servers, and supporting services that propose and apply changes to large codebases
• Assist in developing retrieval systems that give AI agents and developers accurate, up-to-date context from large codebases and design artifacts
• Help measure and improve AI-generated changes by building compile/test/evaluate pipelines (static analysis, style and safety checks, performance gates, code review)
• Apply IMC’s best practices in concurrency, telemetry, configuration hygiene, and performance-sensitive code paths to ensure AI outputs are reliable and idiomatic
• Collaborate with teammates on experiments to evaluate and improve AI-driven workflows

What You Bring
• BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)
• Proficiency in a high-level programming language (Java or Python preferred)
• Experience contributing to developer-facing or production systems
• Curiosity and eagerness to learn about AI/LLM application patterns, even if you haven’t worked closely with them yet
• Strong communication skills; comfortable working with engineers in a fast, collaborative environment

Nice to Have
• Exposure to AI tools or workflows (e.g., LangChain, LangGraph, AutoGen, or similar)
• Experience with retrieval systems (vector search, embeddings, or hybrid approaches)
• Familiarity with compiler/static analysis or large-scale refactoring tools
• Interest in customizing or fine-tuning open-weight models
• Knowledge of model-serving or evaluation infrastructure

Why Th

Our company:

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You Will Do:

In this role, you will be part of Teradata’s Product Engineering leadership team and will lead the next gen agentic architecture for AI across Teradata’s data and analytics platform. You will be a critical force in defining how Teradata evolves to deliver intelligent, scalable, and secure AI capabilities tightly integrated into our hybrid cloud platform.

Your work will shape the AI architectural direction for Teradata’s analytics and applications stack, ensuring that our platform natively supports advanced AI-driven use cases for enterprises. You will design modern, modular solutions across multi-cloud and on-prem environments, integrating agentic AI, generative AI, open data formats, and real-time streaming into Teradata’s portfolio. Your leadership will enable Teradata to maintain its position as the most trusted, enterprise-grade data and AI platform in the world.

In this role, you will:

+ Architect Teradata’s foundational AI strategy – driving capabilities that enable agentic AI, GenAI, and advanced analytics on the Teradata VantageCloud platform.

+ Design scalable, performant AI-driven architectures using open table formats (Iceberg, Delta), query engines (Trino, Presto, Spark), and event streaming (Kafka, Pulsar).

+ Integrate AI into Teradata’s products, including orchestration, context management, and long-running workflows with frameworks like LangChain, Semantic Kernel, and connectors to Amazon Bedrock, Azure Open

As one of Microsoft's most recognized global partners, Quisitive sits at the forefront of cloud transformation, enterprise data strategy, cybersecurity, and the emerging frontier of agentic AI. Here, consultants and technologists operate on the edge of innovation—supported by a culture that values craftsmanship, open collaboration, and technical expertise. If you're looking for a place where you can innovate, solve complex problems, and build solutions that make a measurable impact, join us.

As a Senior QA Engineer embedded in our Telecom OSS practice, you will own end-to-end test strategy and automation for applications supporting cable TV, voice, and broadband internet services. You will work across telecom middleware layers and operational systems including: provisioning, service activation, billing interfaces, and network management platforms — ensuring that complex, high-availability systems meet rigorous quality standards before reaching production. This position is a hybrid role and you will need to be located in the Greater Atlanta area.

Key Responsibilities
• Design, build, and maintain scalable E2E test suites using Playwright targeting web-based OSS/BSS portals, service management UIs, and operational dashboards
• Develop and execute test strategies for telecom service applications spanning cable/TV, VoIP, and broadband internet platforms
• Test telecom middleware integrations including provisioning systems, service orchestration layers, and network-facing APIs (REST, SOAP, TL1, SNMP)
• Validate end-to-end service workflows such as subscriber activation, order management, fault management, and service assurance flows
• Integrate automated test suites into CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent) supporting rapid release cycles
• Collaborate with OSS architects and developers to define testable acceptance criteria for complex, multi-system integration scenarios
• Mentor junior QA engineers and establish team-wide testing standards, f

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description

Job Title: Agentic AI Developer (Entry-Level)
Job Location: Bellevue, WA (Hybrid)

About the job you’re considering
The Entry-Level Agentic AI Engineer role focuses on designing and delivering intelligent, AI driven engineering solutions for Automotive and Aerospace customers. This position blends MBSE, CAD/PLM (3DEXPERIENCE, CATIA, No Magic) expertise with LLM based agent development to enable design automation, knowledge extraction, digital thread integration, and decision support. The role requires strong mechanical engineering fundamentals and hands on experience building scalable, enterprise grade GenAI solutions.

Your Role
• Design and develop LLM based intelligent agents using Python and modern agent frameworks.
• Build AI driven solutions for engineering use cases such as knowledge extraction, design automation, and model transformation.
• Develop and integrate MBSE workflows using No Magic / Cameo Systems Modeler and SysML.
• Basic knowledge on CATIA V5/V6 and 3DEXPERIENCE automation solutions using EKL, CAA, Python, and macros.
• Integrate CAD, MBSE, and PLM systems to enable digital thread and digital engineering workflows.
• Develop Retrieval Augmented Generation (RAG) pipelines for engineering knowledge systems.
• Design APIs and orchestrate workflows for engineering copilots and assistants.
• Collaborate with cross functional teams to architect scalable, enterprise grade engineering solutions.
• Develop POCs, technical documentation, and solution architectures for customer engagements.
• Support cloud based deployment of AI solutions, pr

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with seven specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.

PLEASE NOTE THAT WE ARE NOT ACTIVELY HIRING AI ENGINEERS AT THIS TIME. WE ARE PIPELINING TALENT IN ANTICIPATION OF ADDITIONAL HIRING NEEDS IN THE FUTURE. PLEASE EXCUSE ANY DELAYS IN RESPONSE IN THE MEANTIME.

We are seeking a highly skilled and collaborative Agentic AI Engineer to lead the design, development, and deployment of agentic AI solutions using Microsoft 365 Copilot and Copilot Studio. This role will be instrumental in transforming business workflows through intelligent automation, integrating with enterprise APIs, and delivering measurable business value across multiple use cases.

Key Responsibilities
• Collaborate with business stakeholders to identify, prioritize, and document high-impact agentic AI use cases.
• Design and implement Copilot Studio agents (declarative and custom) that integrate with Microsoft 365 apps (Teams, Outlook, Excel) and enterprise systems.
• Lead technical readiness assessments including API validation, data model alignment, and integration feasibility.
• Develop and deploy pilot agents, including two small and one medium agent, aligned with business workflows and success metrics.
• Ensure secure and compliant agent development by working with InfoSec, Legal, and Risk teams to define guardrails and data access policies.
• Support change management efforts including training, documentation, and knowledge transfer to internal teams.
•

AstraZeneca is a global, science-driven biopharmaceutical company. We are dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions that enrich the lives of patients. In AstraZeneca Oncology, our goal is to be at the forefront of developing the next generation of cancer therapies.

This Staff Engineer Agentic AI role is located in either Boston, MA, or Gaithersburg, MD

Main Duties and Responsibilities

There is an exciting opportunity for a talented and motivated Engineer to join the group as a Staff Engineer for Agentic AI. In this role, you will:

Build Agentic AI driven solutions that tackle scientific research problems.

Develop, test, and support Agentic tools for Genomics, Computational Pathology, Clinical Trials, etc.

Automate complex data analysis processes.

Introduce leading AI technologies applied to cancer research.

Essential Requirements

Relevant graduate degree: Computer Science, Engineering, or Bioinformatics.

Minimum of 10 years of applied experience in software engineering, data science, machine learning, bioinformatics, or relevant field.

Hands-on experience building Agentic AI systems and deploying them to production.

Programming skills: Solid Python and/or TypeScript programming skills

Vast Experience in: Unix, SQL databases, REST APIs, Cloud computing (AWS).

Vast Experience in software development best practices.

Desirable:

AI frameworks, such as Pydantic-AI, LangChain, etc.

Experience in RAG, vector databases.

An understanding of LLMs / Foundation models technologies.

Experience in at least one compiled programming language (e.g. any of C, Java, Go, Rust, etc.).

The annual base pay for this position ranges from $177,520.00 - $266,280.00. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportu

Date Posted:

2026-02-19Country:

United States of AmericaLocation:

US-CT-EAST HARTFORD-RTRC K 411 Silver Ln RTRC KPosition Role Type:

HybridU.S. Citizen, U.S. Person, or Immigration Status Requirements:

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here: https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62Security Clearance Type:

None/Not RequiredSecurity Clearance Status:

Not Required

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

The following position is to join our RTX Research Center team:

Role Overview:

Seeking a motivated and curious candidate for an Agentic AI Researcher position in the Advanced Learning and Analytics team, part of the AI Discipline.

The Advanced Learning and Analytics team researches and develops machine learning, computer vision, reinforcement learning, LLM applications and human computer interaction solutions for a variety of high impact real world problems in the aerospace, manufacturing and defense industries. Examples include auton

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).

HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.

HackerOne Values

HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.

Software Engineer, Applied AI

Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC

1 day onsite per week

Position Summary

At HackerOne, we’

Technology

Research Engineer, AI Agents for Creation Tools

Location
:

San Jose

Employment Type
:

Regular

Job Code
:

A183272

Responsibilities

We are building the next generation of AI-native creation tools powered by intelligent AI agents. Our mission is to transform how people create by embedding agentic AI directly into creative workflows—from AI-powered camera effect generation to AI-driven video editing and storytelling.

Our team operates at the intersection of AI research, systems engineering, and creative product development, translating advances in agentic AI into scalable, real-world creation tools used by millions of creators. We work closely with product and design partners to ensure that sophisticated AI systems result in simple, powerful, and intuitive creative experiences.

Responsibilities

Research and develop agentic AI systems for creative tools
Design agent architectures for planning, reasoning, memory, and multimodal interaction
Build training, evaluation, benchmarking, and experimentation pipelines for agent systems
Integrate large language models and generative models into end-to-end agent workflows
Prototype new agent capabilities and validate them in real user scenarios
Collaborate with engineering teams to productionize research-driven systems
Qualifications

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science or a related field
3+ years of related industry experience
Strong background in AI agents, LLM systems, or multimodal AI
Experience with model training, evaluation, and experimentation workflows
Strong programming skills in Python, C++, or similar languages
Ability to translate research ideas into practical systems
Preferred Qualifications

Research or applied experience with tool-use agents, coding agents, or autonomous task-execution agents
Experience studying or improving agent behaviors such as tool selection, planning with tools, code-based execution,

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with seven specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.

PLEASE NOTE THAT WE ARE NOT ACTIVELY HIRING AI ENGINEERS AT THIS TIME. WE ARE PIPELINING TALENT IN ANTICIPATION OF ADDITIONAL HIRING NEEDS IN THE FUTURE. PLEASE EXCUSE ANY DELAYS IN RESPONSE IN THE MEANTIME.

We are seeking a highly skilled and collaborative Agentic AI Engineer to lead the design, development, and deployment of agentic AI solutions using Microsoft 365 Copilot and Copilot Studio. This role will be instrumental in transforming business workflows through intelligent automation, integrating with enterprise APIs, and delivering measurable business value across multiple use cases.

Key Responsibilities
• Collaborate with business stakeholders to identify, prioritize, and document high-impact agentic AI use cases.
• Design and implement Copilot Studio agents (declarative and custom) that integrate with Microsoft 365 apps (Teams, Outlook, Excel) and enterprise systems.
• Lead technical readiness assessments including API validation, data model alignment, and integration feasibility.
• Develop and deploy pilot agents, including two small and one medium agent, aligned with business workflows and success metrics.
• Ensure secure and compliant agent development by working with InfoSec, Legal, and Risk teams to define guardrails and data access policies.
• Support change management efforts including training, documentation, and knowledge transfer to internal teams.
•

Role: Senior Engineer Agentic AI Location: Any US Location - must be willing to travel per business need

Job Description:

Preface The Agentic AI Engineer is a hands-on development role at TCS (Americas) specializing in building and deploying AI agent solutions for clients. As businesses shift toward agentic AIautonomous systems that execute tasks independentlyroles like AI Agent Engineer have emerged. In this client-facing consulting position, youll work in a hybrid environment, delivering cutting-edge AI agents that blend large language models, custom prompts, data sources, and business logic. Projects can range from financial chatbots to manufacturing optimizers, requiring advanced prompt engineering, Retrieval-Augmented Generation (RAG), and strong software skills.

What You Would Be Doing
• Develop AI Agents & Applications: Code the core logic for AI agents, whether standalone or in multi-agent systems, enabling them to answer questions, generate content, or execute transactions.
• Coding with LLMs and Tools: Use Python or similar languages to integrate large language models (LLMs) and external tools (e.g., APIs, web search, databases).
• Prompt Engineering & Optimization: Craft, refine, and test prompts to guide agent behavior, including fallback strategies for uncertainty.
• Implement RAG for Knowledge: Connect AI agents to vector databases or search indices to ground outputs in up-to-date, domain-specific information.
• System Integration & APIs: Integrate AI agents with external systems (e.g., travel booking APIs, payment gateways), handling formatting, RESTful calls, and data responses as needed.
• Testing and Iteration: Simulate agent behavior, identify and fix failure modes, and tune prompts and code for high-quality results.
• Deploy AI Solutions: Package and deploy agent applications (Docker, cloud), ensuring scalability and proper configuration.
• Collaboration & Agile Delivery: Work with AI Architects, Data Engineers, and UX Developers in agile team

Description

4 Days in the office from any of our locations in Johnston RI, Iselin NJ, Westwood or Medford MA, or Phoenix AZ

Role is not relocation eligible.

Senior AI Software Engineer (Agentic AI / AI Agents)

About the Role

We are seeking a hands-on, results-driven Senior AI Software Engineer to build and scale Agentic AI capabilities—AI systems that can plan, act, and complete tasks through tool use and workflow orchestration—across enterprise platforms. This role is pivotal in delivering secure, reliable, and compliant AI Agents that integrate into customer and colleague journeys, accelerate time-to-market, and improve operational efficiency.

You will operate at the intersection of software engineering and applied AI, owning end-to-end delivery—from architecture and implementation to deployment, observability, and operational excellence.

Key Responsibilities

Build and Operate AI Agents (Agentic AI Engineering)

• Design and implement AI Agent architectures (planner/executor patterns, multi-step reasoning flows, tool-use orchestration) to execute business tasks end-to-end.

• Build tooling and integrations for agents (APIs, internal services, data tools, workflow engines), including secure action execution, approvals, and guardrails.

• Engineer agent behaviors for reliability: deterministic fallbacks, bounded autonomy, retries, idempotency, and safe failure modes for partial completion.

Agent Platforms, Reuse, and Scale

• Develop reusable agent frameworks and components: shared tool registry, prompt/tool contracts, agent memory strategies, policy enforcement, and standardized observability.

• Enable teams to embed agents into multiple products/channels via SDKs, reference implementations, and well-defined APIs, reducing duplication and improving consistency.

• Implement evaluation pipelines for agents: task success rate, tool-call accuracy, groundedness, latency/cost, and regression testing across agent versions.

• Build production-grade RAG pipeline

About Oversight

Oversight is the world’s leading provider of AI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta, GA, Oversight works with many of the world’s most innovative companies and government agencies to digitally transform their spend audit and financial control processes.

Oversight’s AI-powered platform works across our customers’ financial systems to continuously monitor and analyze all spend transactions for fraud, waste, and misuse. With a consolidated, consistent view of risk across their enterprise, customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More.

Position Overview:

We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.

The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG).

You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI.
Core ML/LLM Engineering
• Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production.
• Implement RAG pipelines using vector databases.
• Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows.
• Develop prompt engineeri

Tivara

Tivara is building AI agents that take care of the complex, behind-the-scenes operations for large specialty clinics, allowing doctors to focus on delivering optimal care (not phone calls). Demand from clinics is already outpacing our capacity, and every feature you ship directly accelerates our growth.

We’re a 4 person founding team in New York City, backed by Y Combinator, Mischief VC, and Day One Ventures. If you’re excited about building ambitious technology that makes healthcare a frictionless experience, we’d love to talk.

The Role

As a founding engineer, you’ll be working directly with the CTO to design and build the core systems that power our AI agents. You’ll own entire features across the stack and help set the technical and cultural foundation of Tivara.

Some of the problems you might tackle:
• Voice AI Architecture - Build the core platform connecting telephony, LLMs, and models to power thousands of low-latency patient ↔ agent conversations. You’ll be pushing the limits of Voice AI infrastructure in a fast-evolving space
• AI-Native Post-Call Workflows - Automate what happens after a call, from charting to scheduling. You’ll design evaluation frameworks and ship production-ready AI agents that form the backbone of our “agentic workforce.”

This is a true zero-to-one opportunity: your work will be foundational, highly visible, and directly tied to millions in revenue.

What We’re Looking For
• Builder mindset: You love shipping, iterating, and learning from real users.
• Collaborative Energy: You thrive in-person, working shoulder-to-shoulder with founders in our NYC office (5 days/week)
• Technical craftsmanship: You care about performance, reliability, and building systems that scale.
• Low-ego, high ownership: You’re kind, direct, and solutions-oriented.

Our Values
• Customer obsessed: We build with patient experience in mind.
• Extreme ownership: Things break, we fix them fast, no blame.
• Always learning: Our AI learns daily, and so do

Our company:

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You Will Do:

In this role, you will be part of Teradata’s Product Engineering leadership team and will lead the next gen agentic architecture for AI across Teradata’s data and analytics platform. You will be a critical force in defining how Teradata evolves to deliver intelligent, scalable, and secure AI capabilities tightly integrated into our hybrid cloud platform.

Your work will shape the AI architectural direction for Teradata’s analytics and applications stack, ensuring that our platform natively supports advanced AI-driven use cases for enterprises. You will design modern, modular solutions across multi-cloud and on-prem environments, integrating agentic AI, generative AI, open data formats, and real-time streaming into Teradata’s portfolio. Your leadership will enable Teradata to maintain its position as the most trusted, enterprise-grade data and AI platform in the world.

In this role, you will:

+ Architect Teradata’s foundational AI strategy – driving capabilities that enable agentic AI, GenAI, and advanced analytics on the Teradata VantageCloud platform.

+ Design scalable, performant AI-driven architectures using open table formats (Iceberg, Delta), query engines (Trino, Presto, Spark), and event streaming (Kafka, Pulsar).

+ Integrate AI into Teradata’s products, including orchestration, context management, and long-running workflows with frameworks like LangChain, Semantic Kernel, and connectors to Amazon Bedrock, Azure Open

Pennington, New Jersey 08534 Posted April 9th, 2026

Looking for more job opportunities? Click here!

Job Type: Full Time

Job Category: IT

Role: Python Engineer – Agentic AI & MCP Orchestration

Location: Jersey City, NJ/ Pennington, NJ

FTE only

Job Description

Must Have Technical/Functional Skills

Technical Skills
• Strong hands-on experience in Python for building production-grade applications.
• Experience developing agentic AI applications (multi-agent workflows, tool-using agents, autonomous task execution).
• Expertise with AI orchestration frameworks (agents, tools, planners, workflow controllers).
• Practical experience setting up and configuring Model Context Protocol (MCP) servers.
• Ability to implement and integrate MCP Clients with external systems and AI models.
• Proficiency working with LLMs, prompt engineering patterns, and structured output handling.
• Experience with API integration, event-driven interactions, and tool/skill registration for agents.
• Strong understanding of asynchronous Python (asyncio, concurrency patterns).
• Familiarity with vector stores, embeddings, RAG pipelines, and memory architectures (nice to have).
• Experience working with CI/CD, Git, testing frameworks (pytest), and secure coding practices.

Functional Skills
• Ability to translate business problems into agent-driven automation workflows.
• Strong debugging and troubleshooting of distributed agent behavior and orchestration flows.
• Familiarity with governance, model safety constraints, and responsible AI usage patterns.
• Strong documentation habits for API schemas, MCP interface definitions, and agent lifecycle behavior.
• Effective communication with architects, product teams, and business stakeholders.
• Comfort working in Agile environments with rapid experimentation and iteration.

Roles Responsibilities

Design and develop Python-based agentic applications capable of orchestrating autonomous and semi-autonomous workflows.
• Build, configure, and maintain

About the Role:

Grade Level (for internal use):
13

S&P Global Ratings

The role: Director Software Development Engineer in Test

The Team:

This Director-level role leads the Enginuity-X team (Engineering Excellence) within the S&P Global Ratings Engineering organization. You will drive strategic Quality Engineering (QE) transformation, aligning automation, performance, security, AI, and usability with business outcomes.

As a key enabler of Engineering Excellence, you will work horizontally across delivery ARTs, partnering with cross-functional areas to deliver quality at scale.

Key Responsibilities
• Automation Strategy: Define and implement enterprise-wide automation frameworks integrated with CI/CD pipelines for scalability and maintainability.
• Performance Engineering: Establish standards and frameworks for performance, reliability, and scalability testing.
• Security & Compliance: Drive secure engineering practices, including security testing, threat modeling, and vulnerability assessments.
• Non-Functional Testing: Build capabilities for observability, resilience, data integrity validation, and regulatory compliance.
• AI-Driven Quality: Advance agentic AI platforms for predictive and autonomous testing, leveraging ML for defect prediction and risk-based testing.
• People Leadership: Lead and mentor a high-performing team, fostering innovation, collaboration, and continuous learning.
• Cross-Functional Alignment: Partner with Product, Architecture, and Delivery leaders to embed quality practices into engineering workflows.
• Governance & Metrics: Define KPIs and quality metrics to measure automation, performance, and security effectiveness; report outcomes to senior leadership.
• Talent Enablement: Develop career paths, training programs, and certification strategies to build future-ready QE talent.
• Usability & Accessibility: Champion inclusive product experiences by promoting usability and accessibility standards.

Required Skills & Experience
• 15+ ye

Ready to build the future with AI?
At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.

Inviting applications for the role of Senior Principal Consultant, Automation Testing skills
We are looking for a skilled QA Test Manager with expertise in Automation testing activities. The ideal candidate should learn the practical application of engineering principal and will work with a cross-functional team to deliver/maintain the automation test suite of healthcare applications especially medical devices. Candidate should lead the new technology introduction, problem investigation, platform definition, practical design, and verification/validation.

Responsibilities
Collaborate with cross functional teams in an agile environment to ensure high quality software delivery.
Setting up squish infrastructure for UI related activities
Setting up Jenkins to trigger automation testing.
Run automation cycling framew

mika is revolutionizing financial management for small businesses with an AI-powered platform that combines automated accounting, proactive insights, and conversational AI. We're on a mission to make expert financial navigation and compliance accessible to every small business owner – dramatically reducing costs and bureaucratic burden. We're a small, senior team shipping fast, and every line of code we ship matters.

Our stack: FastAPI & Django backend, React frontend (Material UI, react-query), PostgreSQL, AWS.

Tasks

We build agentic AI systems that do real accounting work. As our product grows in complexity, so does the need to deeply understand and validate what our AI agents actually do – how they book transactions, why they made certain decisions, and whether the output meets real accounting standards.

This is not a traditional QA role. You'll work closely with the product and engineering team to test new features, investigate edge cases, and build up our QA processes from the ground up. Over time, you'll grow into owning automated testing (E2E) and eventually supporting compliance and certification work.

Concretely, you'll:

• Manually test new features and document findings clearly.


• Clone local environments and run our AI agents to validate their bookkeeping output.


• Develop a deep understanding of German accounting logic to judge whether agent decisions are correct.


• Collaborate with our customer success team and accountants to identify real-world edge cases.


• Gradually build out E2E testing infrastructure (e.g. Playwright).


• Help establish structured QA processes across the team.

Requirements

• Technical Foundation: You have practical programming experience (in any language) and a dedicated commitment to continuously developing your technical skill set.


• Analytical Mindset: You possess a strong desire to learn and the ability to acquire deep domain expertise in complex subject areas.


• Methodical Approach: You demonstrate structured thinking and ensure thorough documentation of your findings through a systematic workflow.


• Independent Ownership: You are comfortable working autonomously and are proactive in flagging and communicating issues clearly and effectively.

Nice to have:

• Initial experience with automated testing tools such as Playwright, Cypress, or similar frameworks.


• A background or professional interest in accounting, finance, or taxation.


• Prior experience or academic focus in software development.

Benefits

• A small team of strong, senior engineers who respect each other's time.


• Real ownership from day one – your findings directly shape the product.


• A genuinely interesting domain – German tax law meets AI agents.


• A clear growth path: from manual testing to E2E automation, compliance support, and eventually real software contributions – long-term, this role can grow into a full engineering position.


• Almost no meetings – on average 95% focus time per day.


• Berlin location preferred but remote within Germany possible.

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