Technical Lead-AI QA

Birlasoft

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

10 hours ago
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Job summary

Birlasoft is seeking an experienced AI QA Engineer to validate and automate testing for Agentic AI and GenAI systems. This role demands strong Python expertise and a focus on robust automation frameworks to ensure reliable LLM performance.

The candidate will test multi-agent workflows, develop evaluation metrics, and participate in CI/CD processes to maintain high-quality AI software delivery. This position is based in Bengaluru, India and requires hands-on testing of GenAI platforms.

Qualifications

  • 7+ years of QA experience, with GenAI/ML exposure.
  • Strong Python programming for automation.
  • Experience testing GenAI/LLMs and evaluating outputs.
  • API testing and debugging expertise.
  • CI/CD integration and version control familiarity.

Responsibilities

  • Develop Python-based automation frameworks (Pytest) to validate GenAI/LLM systems.
  • Test LLM outputs for accuracy, hallucination, and relevance.
  • Validate multi-agent workflows and data pipelines.
  • Build evaluation metrics (e.g., F1, precision, recall) for QA measures.
  • Perform API and integration testing across services.
  • Ensure high test coverage and CI/CD integration.

Skills

Python programming
Automation frameworks
GenAI/LLMs
API testing
CI/CD
Version control

Tools

Pytest
unittest

Job description

Area(s) of responsibility

AI QA Engineer - Agentic AI / GenAI

Role Overview

QA Engineer responsible for validating and automating testing for Agentic AI and GenAI systems with strong Python expertise.

Key Responsibilities
  • Develop Python-based automation frameworks (Pytest)
  • Test LLM outputs (accuracy, hallucination, relevance)
  • Validate multi-agent workflows and pipelines
  • Build evaluation metrics (F1, precision, recall)
  • Perform API and integration testing
  • Ensure high test coverage and CI/CD integration
Required Skills
  • Strong Python programming
  • Automation frameworks (Pytest/unittest)
  • Understanding of GenAI/LLMs
  • API testing and debugging
  • CI/CD and version control
Experience

7 years or more in QA experience, exposure to GenAI/ML systems

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