Agentic QA Engineer(1-4 yrs exp)

2 days ago


Bengaluru, Karnataka, India MindBrain Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Position:
Agentic QA Engineer

Location:
Bangalore (Work from Office)

Timings:
Full-Time (As per company schedule)

Notice Period:
Immediate Joiner Preferred

Experience:
1–4 Years

About the Role

We are seeking a
skilled and detail-oriented Agentic QA Engineer
to test and validate
AI agents and LLM-based workflows
. The ideal candidate will bring a solid background in
software QA or AI testing
, with the ability to evaluate agentic behavior, ensure reliability, and maintain high system performance.

This role requires close collaboration with
developers, prompt engineers, and data scientists
to deliver robust, high-quality AI-driven systems that perform seamlessly in real-world scenarios.

Key Responsibilities

  • Test and validate
    AI agents
    and
    LLM workflows
    for accuracy, correctness, and stability.
  • Design and execute
    test cases
    to assess agentic behavior, prompt precision, and outcome quality.
  • Utilize
    DeepEval
    or similar frameworks to build and automate
    LLM evaluation pipelines
    .
  • Identify, document, and track
    bugs, performance issues, and logic inconsistencies
    .
  • Collaborate with
    cross-functional teams
    to improve system quality and user experience.
  • Develop and maintain
    QA documentation
    including test plans, cases, and reports.
  • Ensure AI agents perform optimally across diverse contexts and workflows.
  • Support the creation of
    automated QA pipelines
    for continuous validation and monitoring.

Skills & Qualifications

  • 1–4 years of experience in
    Quality Assurance
    ,
    Software Testing
    , or
    AI Testing
    .
  • Strong understanding of
    Generative AI
    ,
    LLM agents
    , and
    autonomous workflows
    .
  • Experience in
    manual testing
    with familiarity in
    automation frameworks
    .
  • Hands-on experience or working knowledge of
    DeepEval
    for LLM evaluation.
  • Proficiency in
    Java
    or
    Python
    for test automation and scripting.
  • Excellent
    analytical
    ,
    debugging
    ,
    documentation
    , and
    communication
    skills.

Good to Have

  • Experience with
    LangChain
    ,
    CrewAI
    ,
    AutoGen
    , or similar
    agentic frameworks
    .
  • Understanding of
    AI evaluation metrics
    (accuracy, coherence, relevance, hallucination detection).
  • Exposure to
    CI/CD pipelines
    ,
    test automation
    , or
    model monitoring tools
    .

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