BIRLASOFT • AI QUALITY ENGINEERING

Gen AI / Agentic Testing Lead

LLM Testing • Agentic AI • API Testing • RAG Systems

🏢 Birlasoft • Full-Time • Grade 5B • 7–9 Years Experience

Gen AI Agentic AI LLM Testing QA Lead

About the Role

Birlasoft is hiring a Gen AI / Agentic Testing Lead to drive quality engineering for Generative AI and Agentic AI platforms. The role focuses on testing LLM-powered applications, APIs, data pipelines, AI workflows, and next-generation enterprise AI solutions. :contentReference[oaicite:1]{index=1}

🏢 Company
Birlasoft

💼 Experience
7–9 Years

📍 Location
Noida, India

👨‍💻 Role
Testing Lead – Agentic AI

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Role Overview

Lead quality assurance initiatives for enterprise AI platforms by validating Large Language Models, APIs, intelligent workflows, and data pipelines. Collaborate with engineering teams to deliver scalable, secure, and production-ready AI applications.

Key Responsibilities

Lead QA activities for Agentic AI and Generative AI platforms.
Validate LLM-powered applications and AI workflows.
Test REST APIs and enterprise data pipelines.
Execute functional, integration, regression, and AI validation testing.
Collaborate with engineering teams to improve AI quality.
Support automation, CI/CD integration, and continuous testing.
Drive best practices for enterprise AI quality engineering.

Required Skills

QA Leadership Gen AI Testing LLM Testing API Testing Data Pipelines AI/ML Testing Agentic AI Azure RAG Vector Databases CI/CD DevOps

Must Have

7–9 years of QA and Software Testing experience.
Hands-on experience in AI/ML or Generative AI testing.
Experience testing APIs, LLM applications, and data pipelines.

Good to Have

Experience with Retrieval-Augmented Generation (RAG).
Knowledge of Vector Databases.
Exposure to Agentic AI frameworks.
Azure Cloud experience.
CI/CD and DevOps testing exposure.

Why Join Birlasoft?

Join a team building enterprise-scale AI platforms and next-generation Agentic AI solutions. Work with modern AI technologies while shaping testing strategies for intelligent applications and automation systems.

Highlights

✔ Enterprise AI Projects
✔ Generative AI Testing
✔ Agentic AI Platforms
✔ API & Data Pipeline Validation
✔ RAG & Vector Database Exposure
✔ Azure Cloud Technologies
✔ QA Leadership Opportunity

Apply Now

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