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Senior/Lead Quality Assurance Engineer - Automation Testing

Techgenzi Private Limited
5 - 8 Years
Bangalore

Posted on: 25/02/2026

Job Description

Description :

QA Lead / Senior QA Engineer AI Systems

Role Overview :

We are seeking a highly skilled and strategic QA Lead / Senior QA Engineer to drive end-to-end quality assurance for our AI and Generative AI systems. This role will be responsible for defining quality standards, designing evaluation frameworks for non-deterministic AI systems, and ensuring reliability across AI-powered products.

The ideal candidate brings strong expertise in backend and API testing, automation frameworks, and hands-on experience working with AI/ML-driven applications. You will work closely with engineering teams and leadership to embed quality at every stage of the product lifecycle.

Key Responsibilities :

- Lead end-to-end quality assurance for AI and GenAI features across the product stack

- Design and execute testing strategies for LLMs, prompts, RAG pipelines, and AI-driven workflows

- Develop evaluation methodologies for probabilistic and non-deterministic systems

- Build and maintain automation frameworks across APIs, UI, and AI layers

- Drive production reliability through monitoring, observability, and performance metrics

- Collaborate cross-functionally with engineers, product teams, and leadership to ensure quality-first delivery

Required Qualifications :

- 5 to 8 years of experience in Quality Assurance or Test Engineering

- Strong expertise in API and backend testing methodologies

- Proven experience in test strategy development and automation implementation

- Exposure to AI, Machine Learning, or Generative AI systems

- Ability to evaluate and test systems with probabilistic outputs

Preferred Qualifications :

- Experience testing LLM and RAG-based applications

- Familiarity with cloud platforms such as AWS or Azure

- Prior experience in startup or product-driven environments

- Knowledge of performance, scalability, and cost optimization testing

Why Join Us :

- Opportunity to shape AI quality practices from the ground up

- Work on impactful, production-grade AI products

- High ownership, autonomy, and visibility within a fast-moving environment

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