Jobs

Requisition ID: 49317








Business Unit: Fitch Group








Category: Information Technology








Location: Chicago, IL, US








Date Posted: Mar 31, 2026










Fitch Group is currently seeking a Senior Application Security Engineer - Automation based out of our Chicago office.

As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.


Want to learn more about a career in technology and data at Fitch?


Visit: https://careers.fitch.group/content/Technology-and-Data/

We are seeking a Senior Engineer to join Fitch’s Application Security program with a strong focus on CI/CD-native security, automation, AI-assisted secure coding and deployment, and secure-by-default developer workflows. This role is ideal for an experienced application security engineer who exhibits AppSec expertise—secure design and architecture, vulnerability identification and remediation—enabling security to scale through automation rather than manual intervention.




The ideal candidate will bring hands-on experience integrating security scans into modern CI/CD pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps, or equivalent), building scripts and workflows that automa

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

Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

EDUCATION

Bachelor’s degree in computer science or related field, applicable specialized training, or equivalent work experience equally preferable field.

CERTIFICATIONS

CISSP, CEH, GPEN, GCIH, OSCP, OSWE, or similar

WORK EXPERIENCE

Extensive leadership experience in Cybersecurity, with proven track record in offensive security or penetration testing

Experience successfully managing technical teams or security programs

Experience successfully leading penetration testing campaigns across global environments

Demonstrated success with incident response collaboration to improve detection and response

Experience assessing Artificial Intelligence (AI) technologies and process workflows

Experience in Financial Services or other highly regulated industries preferred

FUNCTIONAL SKILLS

Demonstrated strength in Penetration Testing, with in-depth knowledge of

LOCATION: Bethesda, Maryland (On-site / Not-remote)

Overview

We are seeking an experienced AI/LLM Engineer to lead the design, customization, and integration of large language models (LLMs) into biomedical research workflows and information retrieval systems. We are looking for someone with hands-on experience training, fine-tuning, augmenting, and deploying LLMs in production environments, ideally within biomedical or life sciences domains. The role is product-oriented and forward-looking, focused on building the next generation of AI-enabled search, retrieval, and knowledge discovery tools.

This role serves as a subject matter expert (SME) across multiple product and engineering teams. The selected candidate will help define, architect, and implement LLM-driven capabilities across a portfolio of NCBI services. The position requires strong technical depth, sound architectural judgment, and the ability to collaborate effectively within existing product and technical ecosystems.

This is a hands-on, build-oriented role with strategic influence. The candidate must be capable of guiding both what gets built and how it gets built.

Only serious candidates accepted - we are not seeking candidates that have recently graduated with a masters degree in the past 1-2 years.

We are seeking candidates with at least 3+ years experience doing this work after your last degree.

Key Responsibilities

Serve as the AI/LLM subject matter expert across product and engineering teams.
Collaborate with product managers and technical leads to define AI-enabled capabilities and define the use of LLMs across NCBI platforms (e.g., PubMed and related systems).
Develop and implement retrieval-augmented generation (RAG) systems integrating LLMs with large-scale biomedical datasets.
Provide architectural guidance on model selection, domain adaptation, evaluation strategies, and deployment approaches.
Improve model grounding, factual accuracy, and scientific

Tagup is a defense technology company founded at MIT that is redefining logistics superiority with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow.

At Tagup, curiosity isn’t a perk—it’s the job. If you like seeing the whole system, sharing what you know, and learning from sharp teammates, you’ll fit right in. We’re engineers and data scientists on a mission to make the machines and processes that power the world safer, more reliable, and more efficient. Our AI directly controls large-scale industrial equipment and logistics systems, delivering best-in-class performance for our customers.



We’re hiring a Cloud/DevOps Engineer to bring an SRE mindset to our platform: automate with IaC, orchestrate with Kubernetes, and tune PostgreSQL-backed services for performance and uptime. You’ll build secure, auditable CI/CD, enforce least-privilege by default, and uphold compliance across distributed, multi-region environments.

What You'll Do

Help build and secure infrastructure across AWS, Kubernetes, and other cloud-native services under the guidance of senior engineers.
Support ATO efforts and day-to-day compliance work (e.g., IL4/IL5, CMMC, NIST SP 800-171), preparing evidence and maintaining controls.
Implement Infrastructure as Code with Terraform and related tooling; maintain modules and improve reliability through reviews and testing.
Participate in vulnerability management—triage findings, assist with remediation, and contribute to incident response runbooks and postmortems.
Collaborate with application teams to weave security into CI/CD and the development

PLEASE NOTE: At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship. This includes U.S. citizens and Green Card holders.

About Evertune AI:

Evertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.

Founded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.

We recently announced our $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.

Backed by top-tier VC investors and trusted by forward-thinking brands,we have the resources to scale – but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.

Your Team:
You’ll be joining Evertune’s software engineering team - a tight-knit, high-velocity group, with most of us based in Seattle and New York. While we span time zones, we operate with tight alignment and shared urgency. Our engineers optimize for high velocity: we ship fast, sweat the details, and genuinely enjoy building together.

As a foundational hire, you'll be helping to shape not just how we code – bu

An AI/ML Engineer in the health IT domain with experience in HL7 data standards is responsible for designing, developing, training, and deploying machine learning and AI solutions tailored to health IT applications. This role involves working closely with adverse events data, including HL7 and other clinical data standards, to build scalable, accurate, and efficient AI models that improve drug safety, signal detection and operational efficiency.

Chickasaw Nation Industries, Inc. serves as a holding company with multiple subsidiaries engaged in several lines of business (Technology, Infrastructure & Engineering, Health, Manufacturing, Public Safety, Consulting, and Transportation) for the federal government and commercial enterprises. A portion of our profits is used to support Chickasaw citizens. We are proud to support the economic development and long-term viability of the Chickasaw Nation and its people. CNI offers premium benefits eligible on the first day of hire to full time employees; (Medical - Dental – Vision), Company Life Insurance, Short-Term and Long-Term Disability Insurance, 401(K) Immediate Vesting, Professional Development Assistance, Legal Aid Assistance Program, Family Planning / Fertility Assistance, Personal Time Off, and Observance of Federal Holidays.

As a federal contractor, CNI is a drug-free workplace and adheres to the Federal Controlled Substance Act.

ESSENTIAL REQUIREMENTS

Must possess appropriate level of certifications for this position as required by the contract.

Must be able to obtain a customer clearance for access to facilities, equipment and property.

Strong programming skills in Python, R, or Java with experience in AI/ML frameworks and libraries.

Deep understanding of machine learning algorithms, statistical models, deep learning, and generative AI techniques.

Experience working with healthcare data standards, especially HL7 and FHIR, to process and interpret clinical data.

Famil

About Semiotic Labs
Semiotic Labs builds advanced Web3 infrastructure, autonomous agents, and cryptoeconomic protocols that power decentralized finance and data economies. As a core developer team for The Graph, Semiotic Labs is pioneering trustless, efficient, and scalable financial primitives.

Our suite of products includes:
• GraphTally a trust-minimized micropayment system for decentralized service providers.
• Allocation Optimizer: an Agent for dynamic stake distribution across subgraphs in The Graph.
• Dynamic Pricing Algorithm: Adaptive online query pricing for Indexers.
• Holographic Homomorphic Signature Scheme (H2S2): Cryptographic primitive aggregating signatures for efficient verification.
• State-Channel Micropayments (via GraphTally): Off-chain payments minimizing on-chain cost for low-value transfers.
• AutoAgora: AI-powered tool for query pricing and negotiation in The Graph.
• RL & Neural-Network Cost Prediction / zk-SNARK Enhancements AI-driven pricing, verifiable queries, and privacy-preserving proof mechanisms.

Role Overview

We’re seeking a Smart Contract Engineer (EVM-focused) to work across Semiotic Labs’ product suite. You will design and implement smart contracts, build scalable backend services, and develop data-driven dashboards. The work will touch on areas such as on-chain identity, agreements, micropayments, and DeFi logic, while integrating with advanced indexing and delegation mechanics within The Graph ecosystem.

As part of our team, you’ll juggle with:

Smart Contracts
• Design, implement, and deploy secure EVM smart contracts (Solidity).
• Build logic for identity, on-chain agreements, micropayments, and DeFi primitives.
• Conduct audits and optimizations for gas efficiency and security.

Backend Services
• Develop APIs and services integrating smart contracts with off-chain components (Node.js, Go, Python).
• Support products such as GraphTally and Allocation Optimizer with backend logic.
• Implement scalable infrastructure for

Job description

Company Description

Dealer Automation Technologies is a leading Information Technology Services company that provides Software as a Service (SaaS) solutions for the automotive industry. The company specializes in Process Automation, Advanced Analytics, and Augmented Intelligence to redefine dealership operations. With a focus on intuitive user experiences and cutting-edge technologies, Dealer Automation Technologies is paving the way for innovation in the sector. Combining the agility of a startup with the expertise and business acumen of seasoned leaders, the company operates without dependence on legacy systems, fostering a dynamic and innovative work culture.

Role Description

This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML Engineer specializing in Large Language Models (LLMs) to join our team. You will play a key role in designing and implementing workflows that leverage large language models (LLMs, LAMs, LMMs, LVLMs, etc.) to automate processes and drive innovation in our products. The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. You will collaborate closely with cross-functional teams, contributing to the development of scalable AI driven solutions. Other primary responsibilities include designing and implementing machine learning models, particularly in natural language processing and large language models, building scalable algorithms, conducting research on neural networks, and evaluating model performance. Additionally, the engineer will collaborate with cross-functional teams to ensure seamless integration of AI/ML components into the company?s software offerings.

Major Areas of Responsibility
• Design, Implement, and optimize workflows that incorporate large language models to automate and enhance product features.
• Leverage existing foundational models and adapt them to fit into various product requirements, ensuring al

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

Software Engineer - AI SysML (Technical Leadership) Responsibilities:

Drive the organization’s goal towards relevant machine learning techniques to build & optimize our intelligent systems that improve Meta’s products and experiences
Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency
Assist in goal setting related to project impact
Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
Apply in depth knowledge of how the machine learning system interacts with the other systems around it
Understand industry and Meta wide technology trends in computing technology to help assess & develop new technologies within the ML Systems roadmap
Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
Partner & collaborate with organizational leaders to help improve the level of performance of the team & organization

Minimum Qualifications:

Vast experience communicating and working across functions to drive solutions
Experience in driving large cross-functional and industry-wide engineering efforts
Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term vision
Experience leading projects with industry-wide impact
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Significant experience in mentoring/influencing engineers across organizations

Description

About Side

Side is a global video game development and services provider, offering technical and creative solutions to many of the largest developers and studios around the world. Founded in 2009 and drawing on 30+ years' experience from our parent company in Japan, Side has since grown to become a global force with 15+ studios in over a dozen countries across North America, Europe, South America, and Asia.

Our industry-leading services include game development, art production, audio production, quality assurance, localization, localization QA, player support, community management, and datasets.

Key Responsibilities:
Execute functionality, regression, and new feature testing for ongoing LLM-driven product releases.
Design, document, and maintain comprehensive test cases and testing frameworks.
Perform UI/UX testing to ensure smooth and intuitive product interactions.
Validate API endpoints, keys, and developer integrations to ensure consistent system behavior.
Review and manage bug reports submitted by offshore QA teams, verifying, reproducing, and escalating as necessary.
Collaborate with engineering teams to track issues through resolution and ensure quality standards are met prior to release.
Provide testing insights to improve QA efficiency, automation coverage, and release confidence.
Stay up to date on LLM behavior, capabilities, and limitations to design effective test strategies.

Requirements

Qualifications & Experience:
5+ years of experience in Quality Assurance or Software Testing, preferably within AI, SaaS, or developer tooling environments.
Proven experience creating and executing test cases, managing test cycles, and validating both frontend and backend functionality.
Familiarity with large language models (LLMs), generative AI systems, or NLP products.
Strong understanding of API testing and developer tools (Postman, Swagger, cURL).
Experience with bug tracking systems ( Jira, TestRail, or similar).
Solid grasp of software developme

Company Description

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

Job Description

Visa’s Cyber Security team is seeking a Cyber Security Engineer to design, build, and operate large‑scale, cloud‑native and AI‑driven security platforms that protect Visa’s global brand, networks, products, and data. This role combines hands‑on engineering, automation‑first security design, and technical leadership in a highly dynamic, high‑impact environment.

The ideal candidate is a strong security engineer and problem solver with deep experience in Python‑based services, cloud security engineering, API‑driven architectures, and automation, and who is excited to apply GenAI and autonomous agent technologies to modern security challenges.

This role plays a critical part in reducing time‑to‑detect (TTD) and time‑to‑remediate (TTR) by driving intelligent automation, threat intelligence enrichment, and policy‑as‑code across Visa’s multi‑cloud ecosystem.

Key Responsibilities:

Security Engineering & Platform Development:
• Design, develop, and operate large‑scale cyber security platforms that deliver detection, prevention, and response capabilities across cloud and hybrid environments.
• Build cloud‑native, API‑first security services using Python and modern web service frameworks.
• Develop and expand security integration frameworks to interconnect SIEM, CSPM, CNAPP, IAM, network security, and threat intelligence platforms.
• Drive security automation to minimize ma

Company Description

Join Oteemo and become part of a transformation powerhouse where innovation meets impact. We're not just another consulting firm—we're architects of digital evolution, blending cutting-edge technical expertise with human-centered design principles to create solutions that resonate. Our work spans Infrastructure, Software Development, DevSecOps, Cybersecurity, Experience and Design, Organizational Change Management, and AI-enabled solutions, but our approach is what truly sets us apart. We measure success through tangible business outcomes, not billable hours. We foster a culture of continuous learning where your ideas can thrive and technical excellence is celebrated. Our collaborative global team works across borders and time zones, tackling complex challenges for both Commercial Enterprise and Federal Defense clients with equal passion and precision. At Oteemo, you'll have the opportunity to work with emerging technologies and develop your skills alongside industry experts who are reshaping digital landscapes. If you're seeking a place where your technical prowess can drive meaningful change and where innovation isn't just encouraged—it's expected—Oteemo is your next career destination.

Job Description

You will be part of our Cloud Native DevSecOps practice and will be primarily working on building enterprise solutions that modernize software supply chains. In this role, you will be responsible for providing design and implementation expertise on DevSecOps, CICD and application/platform modernization solutions. You will be interfacing with application developers and platform engineers to design and develop state-of-the-art DevOps release engineering solutions. You will be implementing rapid POCs and Pilots of new capabilities to demonstrate feasibility of new solutions. You will understand the developments in the DevSecOps and CNCF community and have a great understanding of the overall CNCF ecosystem and industry trends in the DevSecO

Avanciers is seeking a highly skilled Java Technical Architect to join our team for an exciting long-term contract with one of our esteemed clients, based in Berkeley NJ /Carol Spring FL .

Title: Java Technical Architect
Location: Berkeley NJ /Carol Spring FL
Contract opportunity
Job Description Summary:

Summary: Technical Development Lead is currently a hands-on, technical leader and developer experienced in full stack Java, Cloud, Web and mobile technologies with working knowledge of Domain Driven Designs, Event Based Architecture, API and microservices architecture.

Seniority & Education: Requires a Bachelor's Degree in Engineering/Technology and a minimum of 15+ years of experience designing and deploying enterprise-level technical applications.

Core Technical Stack: Expertise in distributed and cloud technologies (AWS, Azure, Google Cloud Platform), Containerization (Kubernetes), Microservices, Java/JavaScript frameworks (QuarkSpring), and distributed databases (Postgres, Yugabyte).

Security & Cryptography: Strong command of security protocols (PKI, SSL, RSA) and cryptography concepts for both mobile and server-side, including key management and digital signatures.

Modern AI Tooling: Hands-on experience with AI-assisted coding tools (defined as "Vibe coding tools") such as GitHub Copilot, Cursor, Kiro, WindSurf, or Claude Code, alongside knowledge of AI/ML concepts.

Engineering Best Practices: Proficiency in High Availability engineering, performance tuning, session management, and automated testing for both mobile and web applications.

Leadership & Methodology: Experience working in both Agile and Waterfall environments with the ability to manage the full SDLC, solve complex problems, and mentor junior staff.

For applications and inquiries, contact: hirings@openkyber.com

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

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.
•

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’

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.

We’re looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and GenAI techniques in production systems — from experimentation and prototyping through deployment, evaluation, and iteration. You’ll work closely with engineers, designers, and product stakeholders to turn ambiguous problems into scalable, reliable AI-driven capabilities.

This is a hands-on engineering role for someone who enjoys shipping, learning quickly, and balancing technical rigor with real-world constraints.

What you'll be doing:
• Design, develop, and deploy machine learning and AI-powered features into production systems
• Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data
• Build and evaluate models for tasks such as classification, ranking, prediction, NLP, or anomaly detection
• Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
• Translate business and user needs into ML problem statements, metrics, and experiments
• Implement data pipelines and feature engineering workflows to support model training and inference
• Evaluate model performance, bias, drift, and reliability; iterate based on results
• Collaborate with software engineers to integrate models into APIs, services, and user-facing applications
• Contribute to architecture decisions around model serving, scalability, and cost optimization
• Document approaches, assumptions, and tradeoffs to support maintainability and knowledge sharing

What you’ll bring:

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,

About the role:

As a Senior Software QA Engineer for TQL, you will be the quality subject-matter-expert on a dedicated team and own all aspects of test planning and execution. You will participate in scrum ceremonies, including product design reviews and backlog requirements, while providing input on testability of requirements and acceptance criteria. Our Quality Assurance Engineers are also responsible for driving adoption of QA best practices and leading Shift Left approach for quality deliverables within their aligned team.

What’s in it for you:
• $85,000 – $110,000 base salary, benefits package, and company perks
• Advancement opportunities with aggressive and structured career paths
• TQL's IT Team offers a hybrid work environment with the ability to work remotely 40 hours per month
• Access to the latest emerging technologies
• Reimbursement for continuous education and technical training
• We win wherever we go – Voted a 2019-2026 Computerworld Best Places to Work in IT

What you’ll be doing:
• Create, execute, and maintain automated test scripts. Solid experience in UI and API testing using Playwright, RestSharp, and Swagger with AI assistance to build/execute test suites.
• Coordinate with extended testing teams to support end-to-end testing
• Work closely with Product team (PO/PM) to understand requirements, become expert with application domain knowledge
• Perform research on existing applications and test suites
• Provide feedback and coaching on deliverables to junior QA Engineers
• Responsible for implementation and maintenance of automated test frameworks and scenarios
• Work with other QA Engineers and Developers to ensure that all aspects of the applications have proper testing coverage and overall system reliability, performance, and quality
• Deliver effective and efficient automated testing solutions by meeting key product milestones and overall deliverables on-time while adhering to development and quality standards
• Oversee regression testi

About the Role

We are looking for a motivated Automation Engineer (SDET) with a strong foundation

in manual testing and a growing focus on test automation. The ideal candidate is

passionate about quality, automation, and leveraging AI-assisted tools to improve testing

efficiency and product reliability.

Key Responsibilities
• Perform manual testing including sanity, regression, and acceptance testing
• Analyze requirements and design effective test cases and test scenarios
• Design, develop, and maintain automated test scripts
• Execute tests and report defects with clear reproduction steps
• Collaborate with developers, product owners, and QA teams in an Agile

environment
• Use AI-assisted tools (e.g., GitHub Copilot, Cursor) to improve automation

productivity
• Participate in sprint ceremonies and contribute to continuous quality

improvements

Required Skills & Qualifications

Testing & QA
• 1–4 years of experience in Testing
• Strong understanding of QA methodologies and Software Testing Life Cycle

(STLC)
• Hands-on experience in Sanity Testing , Regression Testing ,Acceptance Testing

Agile & Tools
• Good knowledge of Agile methodologies (Scrum/Kanban)
• Experience using test management and defect tracking tools, such as : JIRA

TestLink / Zephyr (or similar)

Automation & AI Tools
• Experience or strong exposure to test automation
• Hands-on or working knowledge of AI-powered coding/testing tools, such as:

GitHub Copilot ,Cursor

Programming & Scripting
• Proficiency in at least one scripting/programming language: Python, TypeScript,

or JavaScript
• Ability to write reusable, maintainable, and well-structured automation code

Cloud Awareness
• Basic working knowledge of cloud platforms: AWS or Azure
• Awareness of cloud-based environments and deployments

Good to Have
• Experience with automation frameworks (Playwright, Selenium, Cypress, PyTest,

etc.), Playwright will be preferred.
• API testing experience
• Basic knowledge of CI/CD pipelines and v

The Computational Health Informatics Program (www.chip.org) at Boston Children’s Hospital, a Harvard Medical School affiliate, is seeking an experienced Machine Learning Engineer to join the SMART Health IT team (http://smarthealthit.org). In this role, you will design, build, and deploy LLM pipelines that operate on real-world clinical data and support model validation and care delivery at scale. You will join the team that helped define national standards for healthcare data APIs and population-scale clinical data exchange, and that maintains widely adopted open-source platforms used by hospitals, researchers, and technology partners worldwide. Your work will sit at the center of healthcare data innovation, translating modern AI methods into durable, production-grade tools used in clinical environments.

Key Responsibilities

Develop repeatable pipelines in Python using pandas, scikit-learn, and other statistical tools for data structuring, extraction and validation.
Develop, analyze, and interpret large clinical text datasets using the latest natural language processing (NLP/LLM) methods to extract and validate insights to support clinical research and predictive modeling.
Query and manage health datasets using SQL on AWS cloud
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose questions, and make discoveries. Using a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generates and tests hypotheses and analyzing and interpreting the results of experiments
With minimal supervision and direction, completes assignments in the required timeframe; consistently adhering to and promoting standard operating proced

Your Impact at Lila

We're seeking a Machine Learning Research Engineer specializing in LLM Post Training you'll design and maintain large-scale training systems, optimize performance for massive models, and integrate cutting-edge techniques to improve efficiency and throughput.

What You'll Be Building

Ray-based distributed training infrastructure for LLMs and multi-modal models.
Performance optimizations for large-scale model training including training and optimization workflows (SFT, MoE, long-context scaling).
Orchestrate frontier and open source LLMs along with complex compute-intensive tool use
Scalable pipelines for data preprocessing and experiment orchestration, including tools for efficient data loading, pipeline parallelism, and optimizer tuning.
System-level performance benchmarks and debugging utilities.

What You'll Need to Succeed

Proven experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray).
Strong software engineering skills (Python, C++ kernel contributions are a plus).
Understanding of large-scale model training techniques.
Experience with cloud or HPC environments.

Bonus Points For

Prior work with scientific datasets or domain-specific modeling.
Contributions to open-source ML frameworks.

Location

San Francisco, CA or Cambridge, MA (Hybrid and On-Site available depending on team needs).

About Lila

Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai

If this sounds like a

We're seeking a QA Engineer who brings both creative problem-solving and rock-solid testing fundamentals to our team. You'll be the detective who uncovers edge cases others miss, the strategist who designs comprehensive test plans, and the technician who builds elegant automation frameworks. This role blends manual exploratory testing with modern automation practices, and you'll have the opportunity to pioneer AI-assisted testing approaches as the field evolves.

You'll work closely with product and development teams to ensure our web and mobile applications deliver exceptional user experiences. This is a hands-on role for a self-starter who thrives in fast-paced environments and can balance multiple priorities.

What You'll Do
• Uncover Hidden Issues Through Creative Testing – Apply exploratory testing techniques and user-centric thinking to find bugs that automated tests might miss; challenge assumptions and discover edge cases
• Embrace AI-Powered Testing – Learn and implement emerging AI-assisted testing tools and frameworks to optimize testing efficiency and effectiveness
• Build Robust Test Automation – Design, develop, and maintain automated test suites for web (Next.js, Node.js) and mobile applications using modern frameworks
• Master the Fundamentals – Create comprehensive test plans, write clear test cases, execute thorough manual testing when needed, and ensure proper test coverage across features
• Own Quality End-to-End – Take ownership of the testing process, identify gaps, and proactively propose improvements to testing strategies and methodologies
• Collaborate Cross-Functionally – Partner with developers, product managers, and stakeholders to define testing strategies, reproduce issues, and advocate for quality
• Manage Testing Operations – Track defects in JIRA, maintain test documentation, use Git for version control, and contribute to continuous improvement of QA processes

Requirements
• 3+ years of QA engineering experience, preferably in a Saa

Pennington, New Jersey 08534 Posted April 9th, 2026

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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

Networking group develops control plane and data plane Networking stacks for Apple’s innovative including iPhone, iPad, Apple TV, iPod, and Mac OS. Leveraging adaptive machine learning techniques this group continuously enhances the user’s Network connectivity experience

Description

Networking Quality Assurance (QA) team is looking for a passionate software quality engineer to join us to develop and automate tests and work on performance characterization tests. We are looking for a highly motivated engineer who has an aptitude to debug complex and layered software stacks. You will be self-motivated and will design and develop analysis and visualization software tools to improvise screening process efficiency. You will collaborate with multiple teams thrive in a dynamic and innovative environment.

Preferred Qualifications

Have experience developing scripts and tools

Experience debugging problems in a highly concurrent environment

Have familiarity with the TCP/IP suite of protocols

Familiarity with network configuration protocols (e.g. DNS, DHCP, Bonjour, etc)

Track record of shipping high quality products

Ability to stay focused and prioritize a heavy workload while achieving extraordinary quality

System performance characterization a plus.

Innovative, flexible, and results oriented with a positive attitude

Minimum Qualifications

BS/MS IN Computer Science or equivalent.

You have proven track record of defining and leading large scale quality initiatives of networking products.

You will have strong programming skills with Python, C/C++

You will have experience developing scripts and tools

You will have excellent communication skills

You have an ability to work with multi-functional engineering teams.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability,