AI Agent Developer – QA Specialization
Listed on 2026-06-26
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Software Development
AI Engineer (Applied/Software), AI QA / Validation Engineer
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.
We are seeking a QA domain expert with strong experience in AI development to design and build advanced QA Agents. This role is ideal for a QA engineer/developer who has transitioned to AI/ML, Large Language Models (LLMs), and agentic architectures. You will be responsible for architecting, implementing, and optimizing AI agents that automate, augment, and scale quality assurance processes within our engineering teams.
The base salary for this position will vary based on geography and other factors.
In accordance with law, the base salary for this role if filled within Warren, JN is $115K -$125K /year & benefits (see below).
Additional Information*
Responsibilities- Analyze QA workflows to design agent architectures that automate requirement analysis, test generation, defect triage, and reporting.
- Build, fine‑tune, and maintain QA agents using frameworks such as Lang Chain, OpenAI, Llama Index, or custom RL approaches.
- Engineer prompts and context strategies for LLM‑powered test case generation, regression analysis, and intelligent reporting.
- Integrate agents with code repositories, CI/CD systems, test management platforms, and communication tools.
- Collaborate with QA, development, and AI/ML teams to collect requirements and continually improve agent performance.
- Implement agent validation, test coverage measurement, and reliability evaluation for agent‑driven QA flows.
- Contribute to the continuous evolution of self‑healing and adaptive QA agent features.
- Document agent design, workflows, evaluation metrics, and operational guidelines.
- Bachelor’s or Master’s in Computer Science, Engineering, or related field.
- 3+ years in QA engineering, automation, or SDET roles.
- 1+ years hands‑on developing AI/LLM‑based applications or agents (preferably for process automation or software quality).
- Proven experience with one or more of:
Lang Chain, OpenAI API, Llama Index, Vertex AI, or similar agent and LLM frameworks. - Experience integrating AI solutions with Dev Ops tool chains (Jenkins, Git Hub, Jira, etc.).
- Deep understanding of software testing lifecycle, automation frameworks, and QA metrics.
- Clear communication skills with an ability to document and explain agent logic and technical rationale.
- Experience designing agents for software quality–test generation, autonomous triage, or regression analysis.
- Familiarity with RAG (Retrieval‑Augmented Generation) and prompt tooling.
- Knowledge of agent frameworks (e.g., CrewAI, Auto Gen, or similar).
- Contributions to open‑source QA‑AI tools or published research in autonomous QA.
- A highly competitive compensation and benefits package.
- A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
- 10 days of paid annual leave (plus sick leave and national holidays).
- Maternity & paternity leave plans.
- A comprehensive insurance plan including medical, dental, vision, life insurance, and long‑/short‑term disability (plans vary by region).
- Retirement savings plans.
- A higher education certification policy.
- Commuter benefits (varies by region).
- Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
- On‑demand Udemy for Business…
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