Demo

AI Agent Developer – QA Specialization

Synechron
Warren, NJ Full Time
POSTED ON 6/24/2026
AVAILABLE BEFORE 7/10/2026

We are

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 & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs 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.


Our Challenge:

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.



Additional Information*

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).


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 LangChain, OpenAI, LlamaIndex, 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.


Requirements:

  • 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).
  • Strong programming skills: Python (must); knowledge of JavaScript/TypeScript, Java, or Go is an advantage.
  • Proven experience with one or more of: LangChain, OpenAI API, LlamaIndex, Vertex AI, or similar agent and LLM frameworks.
  • Experience integrating AI solutions with DevOps toolchains (Jenkins, GitHub, 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.


Preferred, but not required:

  • 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, AutoGen, or similar).
  • Contributions to open-source QA-AI tools or published research in autonomous QA.


We offer:

  • 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 for all Synechron employees with free access to more than 5000 curated courses.
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
  • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
  • A flat and approachable organization.
  • A truly diverse, fun-loving, and global work culture.


S YNECHRON’S DIVERSITY & INCLUSION STATEMENT


Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Salary : $115,000 - $125,000

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