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Lead AI QA Engineer

Kobie

Full time Hybrid
Experience
6+ years
Location
Bangalore
Work mode
Hybrid
Salary
₹15L – ₹25L a year estimatetypical for IT Jobs in Bangalore, 259 posts
Posted 5 months ago Last checked 2 days ago

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Role at a glance

You will
  • Design and build evaluation harnesses for agentic systems in Python
  • Author automated test suites for prompts, tools, structured outputs, and end-to-end agent workflows
  • Validate guardrails around tool execution
Experience
6+ years
Must-have skills
DockerGitPyTestPythonREST API DevelopmentSQL
Work mode
Hybrid

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Job description

Location: Bengaluru, Karnataka
Department: Data Science

Join Kobie's India Tech Hub as a Lead AI QA Engineer. You'll design test strategies and evaluation harnesses for production-grade, agentic AI systems, and work with ETL. You need 6+ years of experience, strong Python skills, and hands-on experience testing LLM-powered features.

Responsibilities:

  • Design and build evaluation harnesses for agentic systems in Python
  • Author automated test suites for prompts, tools, structured outputs, and end-to-end agent workflows
  • Validate guardrails around tool execution
  • Wire evaluations into CI using Dataiku Evaluations, GitHub Actions, or Jenkins
  • Build observability into testing
  • Own quality end-to-end
  • Partner with data engineers and platform teams
  • Help shape internal QA standards for AI & Data engineering

Requirements:

  • 3+ years of professional QA / SDET experience
  • 1+ years of hands-on experience testing LLM or AI features in production
  • Working knowledge of evaluation frameworks such as RAGAS, DeepEval, LangSmith, Langfuse
  • Strong Python and PyTest skills
  • Solid SQL skills and comfort with at least one cloud platform
  • Fluency with Git, Docker, REST APIs, and at least one CI tool
  • Solid understanding of data security and responsible AI practices

Nice to Have:

  • Hands-on experience with Dataiku DSS
  • Experience with Dataiku LLM Mesh, Knowledge Banks, Prompt Studio, or Visual / Code Agents
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Experience with red-teaming, prompt-injection testing, or adversarial test generation for LLMs

Key skills

Required

DockerGitPyTestPythonREST API DevelopmentSQL

Job market insights

550active Docker jobs in Bangalore
483active Git jobs in Bangalore
42active PyTest jobs in Bangalore
₹15L – ₹25L advertised yearly salary for IT Jobs in Bangalore (middle half of 259 posts that show a salary; median ₹19L)

Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3928 that say).

Hiring most for IT Jobs in Bangalore

  • Bosch Group173 open jobs
  • Trigent Software Private Limited138 open jobs
  • Brillio117 open jobs

Jobs asking for Docker in Bangalore also ask for

  • Kubernetes80%
  • AWS63%
  • CI/CD60%
  • Python60%
  • Microsoft Azure47%

From live job posts on CoreHRx, updated 11 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Lead AI QA Engineer job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹15L – ₹25L a year (typical for IT Jobs in Bangalore, 259 posts).

How much experience does this job need?

The post asks for 6 Yrs experience.

Where is this job based?

In Bangalore (hybrid).

What kind of job is this?

It is a full time job.

This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.

Questions you may be asked

  1. What is the difference between mutable and immutable types in Python?
  2. What is the difference between a list and a tuple?
  3. What is the difference between is and ==?
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