QA LLM Engineer (3-7 Years)

  • icon job experience 3 - 7 Years
  • icon job opening 1 Openings
  • icon salary Not Disclosed
  • icon job posting Posted today
  • Online interview Online interview
  • icon job location Pune
Key Skills

QA-quality Assurance AI Testing LLM Tester

Job Description

Job Title: QA Automation Engineer

Experience Level: – Years About the Role

We are looking for a Quality Assurance Engineer specializing in Large Language Models

(LLMs) to ensure the accuracy, reliability, and performance of AI-driven applications.

The ideal candidate has a strong understanding of how LLMs interact with data

pipelines—covering indexing, chunking, embeddings, cosine similarity and keyword

search —along with hands-on experience in LLM observability, prompt evaluation, and

QA automation.

Key Responsibilities

• Design and execute QA strategies for LLM-based and search-driven products.

• Validate data pipelines involving indexing, chunking, embeddings, cosine

similarity and keyword search.

• Evaluate retrieval-augmented generation (RAG) and recommendation system

quality using precision, recall, and relevance metrics.

• Develop prompt test suites to measure LLM accuracy, consistency, and bias.

• Monitor LLM observability metrics such as latency, token usage, hallucination

rate, and cost performance.

• Automate end-to-end test scenarios using Playwright and integrate with CI/CD

pipelines.

• Collaborate with ML engineers and developers to improve model responses and

user experience.

• Contribute to test frameworks and datasets for LLM regression and benchmark

testing.

Required Skills & Experience

• 4+ years of experience in QA engineering, with at least 1+ year in GenAI or LLM

based systems.

• Strong understanding of indexing, chunking, embeddings, similarity search,

and retrieval workflows.

• Experience with prompt engineering, LLM evaluation, and output validation

techniques.

• Proficiency with Playwright, API automation, and modern QA frameworks.

• Knowledge of observability tools for LLMs

• Solid scripting experience in Python.

• Knowledge of different LLM providers (OpenAI, Gemini, Anthropic, Mistral, etc.)

• Exposure to RAG pipelines, recommendation systems, or model

performance benchmarking.

• Strong analytical and debugging skills, with a detail-oriented mindset.
  • Experience

    3 - 7 Years

  • No. of Openings

    1

  • Education

    Graduate (B.Tech/B.E)

  • Role

    QA LLM Engineer

  • Industry Type

    IT-Hardware & Networking / IT-Software / Software Services

  • Gender

    [ Male / Female ]

  • Job Country

    India

  • Type of Job

    Full Time

  • Work Location Type

    Work from Home

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