Jobs

Overview

If you are obsessed with AI and love turning cutting-edge tools into real, deployed systems that people actually use, this is your role. Not research, not demos - implementation. You will be the person who brings AI into our clients' organizations and makes it stick.

At Swans, we are assembling a team of "Avengers": technical problem-solvers who walk into organizations, identify where AI can unlock the most value, and build and deploy the systems that make it happen.

About Swans

Our Company: We are a fast-moving consulting & implementation agency that improves the way US law firms use technology to deliver better services to their clients.

Our Team: We're currently an international team of 10 and expect to grow to 30+ in the next 12 months.

Our Culture: We are energetic, no-BS, intense, results-oriented, and driven to change our industry forever.

What you'll actually do

AI adoption is the single biggest unlock for the organizations we work with - and the gap between "we have access to AI tools" and "AI is embedded in how we work" is enormous. Your job is to close that gap.

You will deploy AI solutions that are practical, safe, and built to last. This means working across the full stack of modern AI implementation: custom integrations, automation workflows, LLM-powered tools, and hands-on enablement with client teams. You will build the connectors, agents, and workflows that make AI actually work inside our clients' existing systems - and you will help our internal team move faster with AI as well.

Your primary toolkit will be the Claude and Google ecosystems, and you will stay at the cutting edge of what is possible with both.

Day in the life

You are embedded in client engagements and internal projects simultaneously. On the client side, you are building custom AI integrations, deploying workflows, and running enablement sessions that drive real adoption. Internally, you are the person who helps the team move faster by identifying and deploying

About Sei

Sei Labs builds open sourced technology for the high-performance Sei Blockchain, the first parallelized EVM Layer 1 blockchain designed to scale with the industry. The unique optimizations built into Sei enable Web3 applications to reach Web2 level scale and performance, driving the mass adoption of digital assets.

The Sei Labs team is comprised of former Google, Goldman Sachs, Robinhood, Nvidia, and Databricks veterans dedicated to onboarding the next billion users onto a vibrant ecosystem of applications.

Sei Labs has raised over $30M from top investors including Jump Crypto, Multicoin Capital, Coinbase Ventures, Distributed Global, Hudson River Trading, and Flow Traders.

We're a globally distributed team with a fully remote workforce. Check out our website and docs for more details.

Solidity Engineering at Sei

Sei Labs is looking for a Solidity / Smart Contracts Engineer to help shape the future of Web3 by building innovative, high-impact applications across the Sei Blockchain. You’ll work with a team at the forefront of blockchain technology, collaborating closely with our ecosystem partners to develop cutting-edge dApps spanning diverse Web3 domains (from DEX’s and games, to DePin AI and beyond). If you're passionate about constant learning, rapid development, and making a tangible impact in a fast-paced, community-first environment, this is a unique opportunity to push the boundaries of what's possible in decentralized technology.

ResponsibilitiesDevelop and deploy secure smart contracts using SolidityCollaborate on DApp development and integration on the Sei NetworkStay current on blockchain technology and provide technical insightsWrite clean, well-documented, and secure codeMonitor smart contract health and implement security alertsCollaborate across Protocol and Ecosystem teams in solving technical issuesRequirements2+ years of Solidity experienceExperience building dAppsDeployed multiple smart contracts on an EVM compatible chain or E

AI-First QA Automation Engineer, Mobile DocuSketch is a leading software solution provider for the restoration, property insurance, and real estate industries in North America. Our cutting-edge digital platforms enable restoration companies, adjusters, and insurers to efficiently document, manage, and process property claims. Driven by a loyal customer base, DocuSketch has become one of the fastest-growing technology companies in the proptech sector.
Our headquarters are in Potsdam, Germany, with large teams in the US, Canada, and Serbia. We are currently undergoing an exciting Al-First transformation and a strategic migration to Kotlin Multiplatform / Compose Multiplatform, enabling us to build once and deploy to both iOS and Android, while maintaining native look and feel on iOS.

Role Overview
As an AI-First QA Automation Engineer (Mobile), you will be instrumental in ensuring the quality and reliability of the next generation of mobile applications for restoration professionals working in the field. You will build and maintain comprehensive test automation frameworks using WebdriverIO/Appium for cross-platform mobile testing and Playwright for web testing, working closely with our mobile development team during our greenfield application rewrite.
This role combines deep mobile testing expertise with an AI-first approach to test development and maintenance. You will work in a cross-functional AI-First squad, leveraging AI tools to accelerate test creation, maintenance, and analysis while ensuring our applications deliver exceptional user experiences in challenging field conditions and maintaining high quality standards across iOS and Android platforms.

Your responsibilities:
Mobile Test Automation — 60% Design, develop, and maintain automated test suites using WebdriverIO/Appium for iOS and Android applications Build robust, maintainable test frameworks that support our Kotlin Multiplatform / Compose Multiplatform architecture Implement cross-platform test stra

About BasisBasis is a nonprofit applied AI research organization with two mutually reinforcing goals.

The first is to understand and build intelligence. This entails establishing the mathematical principles of reasoning, learning, decision-making, understanding, and explaining, and constructing software that embodies these principles.

The second is to advance society’s ability to solve intractable problems. This involves expanding the scale, complexity, and breadth of problems we can solve today and, more importantly, accelerating our ability to solve problems in the future.

To achieve these goals, we are building both a new technological foundation inspired by human reasoning, and a new type of collaborative organization that prioritizes human value.

About the RoleWe’re seeking Software Engineers to develop scalable systems that integrate large language models (LLMs) with our everyday operational workflows. This role involves designing and deploying automated “pipelines” for tasks like recruiting, finance, and project management—often powered by GPT, Claude, or similar LLMs. We’re flexible on your arrangement: we’re hiring contractors, part-time, or full-time teammates.

Core ResponsibilitiesArchitect and maintain automation pipelines combining internal tools with GPT/Claude and other LLMs

Integrate data across third-party APIs (e.g., ATS platforms, Slack, Google) into unified, automated workflows

Leverage structured generation (JSON schemas, function calling, etc.) to ensure robust, correct LLM outputs

Collaborate with Ops and R&D to identify high-impact automation opportunities

Write production-grade code, with emphasis on modularity, reliability, and error handling

Deploy, scale, and optimize your solutions in a secure, cloud-based environment

Document solutions for both technical and non-technical audiences, ensuring easy updates and maintenance

Qualifications and AttributesWe’re looking for individuals who:

Have experience programming in Julia and/

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Manager, Cyber Penetration Tester to join our Enterprise Security Services organization. This is a remote work opportunity.
Responsibilities:
Conduct detailed network, and web application penetration tests
Perform red teaming exercises to assess the detection capabilities of our security operations
Engage in Artificial Intelligence (AI) Red Teaming to improve the robustness and security of AI systems
Facilitate security assessments, and manage the resolution of identified vulnerabilities
Stay current with the latest security trends, and techniques
Provide guidance and mentoring to junior team members
Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Minimum five years of recent practical experience in cybersecurity, focusing on network and web application penetration testing, red teaming, AI red teaming, cloud penetration testing, and security assessments
Bachelor's degree from an accredited college or university is preferred; relevant certifications such as GIAC Penetration Tester (GPEN), Offensive Security Certified Professional (OSCP), Offensive Security Certified Expert (OSCE), Certified Information Systems Security Professional (CISSP), or similar are highly preferred; Certifications in Azure is preferred
Experience

Location Designation: Hybrid - 3 days per quarter

As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth - driving the company's success.

The Identity & Access Management (IAM) Developer is a senior, hands-on engineering role responsible for designing, developing, and supporting enterprise IAM capabilities at New York Life. This role focuses heavily on SailPoint IdentityIQ (IIQ) development, Java-based customization, and Python-driven automation, while also providing technical leadership and mentorship within the IAM engineering team.

In addition to deep technical expertise, this role requires strong managerial and leadership skills. The IAM Developer is expected to lead workstreams, guide junior developers, partner closely with architecture and security stakeholders, and help translate business and regulatory requirements into scalable IAM solutions.

As IAM continues to evolve alongside automation and artificial intelligence, this role will also contribute to the responsible use of AI-enabled tooling within IAM, including reporting, analytics, and productivity enhancements.

What You'll Do:

IAM Engineering & Development

Design, develop, test, and implement scalable IAM solutions aligned with enterprise security standards and business requirements. Develop and maintain SailPoint IdentityIQ (IIQ) capabilities including workflows, provisioning policies, custom forms, rules, reports, certifications, and integrations. Build and enhance identity lifecycle automation for joiner, mover, and leaver (JML) processes. Develop custom connectors and integrations using JavaBeans, Java, web services, and APIs. Leverage Python scripting to a

About Periodic Labs

We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identity and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission.

About the role

You will integrate, optimize, and operate large-scale inference systems to power AI scientific research. You will build and maintain high-performance serving infrastructure that delivers low-latency, high-throughput access to large language models across thousands of GPUs. You will work closely with researchers and engineers to integrate cutting-edge inference into large-scale reinforcement learning workloads. You will build tools and directly support frontier-scale experiments to make Periodic Labs the world’s best AI + science lab. You will make contributions to open-source LLM inference software.

You might thrive in this role if you have experience with:
• Optimizing inference for the largest open-source model
• High-performance model serving frameworks such as TensorRT-LLM, vLLM, SGLang
• Distributed inference techniques (tensor/expert/pipeline parallelism, speculative decoding, KV cache management)
• Optimizing GPU utilization and latency for reinforcement learning

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description

Team Bio:

ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform.

Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise.

Why This Role Matters:

Enterprise leaders aren’t just experimenting with AI—they’re demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable value, and transform 1-off wins into repeatable success.

As a Forward Deployed Solution Architect (FDSA), you operate on the frontlines of that transformation. You embed with customers to uncover opportunities, architect AI-powered systems that drive ROI, and guide how those solutions scale across the Now Platform.

This is a rare opportunity to serve as a Field Product Architect at the forefront of applied AI, helping define what great looks like for sca

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.
•

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description

As an AI Solution Architect, you will establish architectural patterns that demonstrate the value of the ServiceNow platform within days, accelerating technical validation and deal closure. You will serve as a trusted technical advisor for customers, translating ambitious AI strategies into solution blueprints and proof of concepts designed to deliver measurable results.

Purpose:

Design and deliver AI Experience architectures, proof of concepts, and solution blueprints to streamline customer journeys and accelerate outcomes. AI Solution Architects support the design, architecture, and development of proofs of concept for AI Experience across the ServiceNow platform, including skills and workflows.

Key Responsibilities:
• Lead architectural design sessions focused on AI Experience and platform solutions, transforming customer requirements into actionable blueprints.
• Demonstrate platform capabilities through in-depth technical presentations, highlighting integration options and fostering confidence in the solution’s technical foundation.
• Develop proofs of concept and technical validation frameworks for customers in your designated districts.
• Work closely with AI Experience Solution Consultants to ensure alignment between solution blueprints, customer priorities, and workshop outcomes.
• Create and contribute to reusable assets, reference

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

At CI&T, we are seeking a highly skilled and motivated SDET (Software Development Engineer in Test) to join our team. You will contribute to an innovative project in a collaborative, innovative, transforming, and multicultural environment, ensuring software quality, reliability, and performance.

Position Overview:

As an SDET, you will play a critical role in designing and executing robust automated and manual testing strategies. Your primary responsibility will be to bridge the gap between development and testing, collaborating closely with cross-functional teams throughout the product lifecycle to ensure quality is embedded from the early stages.

Key Responsibilities:

- Design, develop, and maintain scalable test automation frameworks and scripts.

- Create and execute comprehensive test plans and scenarios across multiple applications and platforms.

- Implement performance, load, and stress testing to validate system stability and scalability.

- Collaborate within agile teams to define and evolve test strategies, standards, and QA best practices.

- Identify, document, and track defects, working closely with developers to ensure timely and effective resolution.

- Analyze test results and quality trends, proposing continuous improvement initiatives to enhance project outcomes.

- Conduct root cause analysis and support the leadership team in Quality Analysis across the Value Stream.

Required Skills and Qualifications

Must-have Skills:

- Proven experience as a QA Engineer or SDET.

- Strong programming skills in at least one language (Java, C#, Python, or JavaScript).

- Hands-on experience with automation tools (Selenium, Cypress, TestNG, or JUnit).

- Proficiency with API testing to

Software Development Engineer in Test (SDET) job at Reveleer. Remote.

Software Development Engineer in Test (SDET)

Location: Glendale, CA or Remote

Do you like innovation and technology? We do, too. Reveleer is a healthcare software company serving health plans and care management organizations. Our teams are dedicated to disrupting and modernizing healthcare by building powerful technology that provides an amazing user experience, scalability, and automation.

Reveleer is the first of its kind in our space – a self-service platform that mines health data using AI, NLP, and advanced analytics. Our Platform enables health plans to focus on the quality-of-care people receive, leaving the most complex and repetitive tasks for technology to solve. Be part of what Reveleer is building next! General Summary

Reveleer's Technology organization is focused on building and managing our cloud native SaaS platform. We are looking for a talented Software Development Engineer in Test to join our team. The person will work closely with our development and quality assurance teams to create and execute test plans and automation scripts, identify, and report bugs, and ensure the quality of our software applications. The ideal candidate will have a strong background in software development, as well as experience in testing and test automation.

Responsibilities:

· Collaborate with development and quality assurance teams to understand product requirements and develop test plans.

· Create and execute automated and manual test cases for SaaS based web applications.

· Identify and report bugs and work with development teams to resolve them.

· Develop and maintain test automation scripts using modern Java Script based end to end automation tools.

· Contribute towards enhancing and maintaining the automation framework.

· Design, develop and execute automated API tests.

· Perform performance, load, and stress testing to ensure the scalability of our applicatio

About the position

Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 200,000+ associates across 8 states. From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level—internships through technical leadership. Join a company consistently ranked among Fortune’s “100 Best Companies to Work For” and help us build more than great subs—build the future of technology at Publix. Join the Point-of-Sale Modernization team! As a Sr. Quality Assurance Automation Engineer, you will work on a highly complex, cross-platform effort with varying technology solutions (infrastructure, software, middleware, etc). This candidate will work closely with the project team and testers to ensure quality assurance activities are planned, executed, and the results are reported. In addition, the position will be responsible for the creation of automated test cases using industry-standard programming languages. Location: Hybrid (Lakeland, FL) Work Model: Enjoy the best of both worlds—collaborate in person and innovate remotely. Why Join Us? Hybrid Flexibility: Work remotely when you need focus time, and join us onsite for high-impact collaboration and brainstorming sessions. Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness. Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges. Empowered Culture: We value autonomy, creativity, and continuous learning—your ideas shape the future of technology in our organization.

Responsibilities
• Perform analysis and development of automated test cases using industry-standard programming languages
• Review project requirements, high-level system designs, and user st

VetsEZ is seeking a Mid-Level QA / Automation Engineer to support the testing, validation, and quality assurance of web-based applications within the Department of Veterans Affairs (VA) environment. This role is responsible for planning, executing, and maintaining both manual and automated test efforts to ensure high-quality, reliable software delivery.

The ideal candidate brings strong experience in test automation frameworks, a meticulous attention to detail, and demonstrated ability to leverage AI tools and techniques to enhance testing efficiency, coverage, and accuracy.

This position requires U.S. citizenship and the ability to obtain and maintain a Public Trust clearance. Candidates must reside in the US.

Responsibilities:
• Plan, design, and execute comprehensive test strategies for web-based applications
• Perform functional, regression, integration, and end-to-end testing across multiple environments
• Develop, maintain, and execute automated test scripts using industry-standard frameworks (Playwright preferred, Selenium acceptable)
• Validate application behavior against functional and technical requirements
• Identify, document, and track defects using Jira (XRay preferred)
• Collaborate with developers, product owners, and cross-functional teams to ensure quality throughout the development lifecycle
• Maintain detailed and structured test cases, ensuring traceability and consistency across releases
• Contribute to test documentation and knowledge sharing using Confluence
• Participate in Agile ceremonies including sprint planning, backlog grooming, and retrospectives
• Support CI/CD pipelines by integrating automated testing into build and deployment workflows

AI-Enabled Testing Responsibilities:
• Leverage AI-assisted tools (e.g., test generation, defect prediction, code analysis) to improve test efficiency and coverage
• Utilize AI-driven approaches for test case generation, prioritization, and maintenance
• Apply machine learning-based validation

Software Development Engineer in Test (SDET) – AI-Augmented

Location: 100% Remote

Employment Type: Contract-to-Perm (conversion after approximately 6 months)

Industry: Healthcare

Our client in the healthcare industry is seeking two Software Development Engineers in Test (SDETs) to help build and maintain robust automated testing frameworks supporting modern Java/Spring Boot microservices.

This is a hands-on automation engineering role focused on building scalable and reliable automated testing solutions across API, UI, and integration layers. The ideal candidate will leverage AI-assisted development tools such as GitHub Copilot and Claude Code to rapidly create, maintain, and optimize automated tests while ensuring stability across CI pipelines and containerized environments.

The SDET will play a key role in improving test automation coverage, pipeline stability, and service reliability while working closely with software engineers to ensure quality across distributed microservices running in Kubernetes environments.

Key Responsibilities
• Design, develop, and maintain automated tests for APIs, UI, and service integrations supporting Java/Spring Boot applications.
• Build and maintain test automation frameworks using Java-based testing tools such as JUnit and RestAssured.
• Implement and maintain contract testing and integration testing strategies across microservices.
• Develop and manage synthetic test data to support automated testing workflows.
• Integrate automated tests into CI/CD pipelines using Jenkins.
• Monitor and stabilize test pipelines running against containerized services in Kubernetes environments.
• Work closely with software engineers to ensure testability, reliability, and coverage of new features.
• Utilize AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to accelerate test development, debugging, and maintenance.
• Troubleshoot failing tests and support rapid debugging and issue resolution across services and pipelines.