Quality Assurance (QA) - Lead - MiDAS

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Roles & Responsibilities

AI Quality Strategy: Develop and own the evaluation framework for GenAI solutions, focusing on Faithfulness, Relevancy, and Hallucination detection using LLM-as-a-judge frameworks.

Performance & Resilience: Lead JMeter-based performance testing.

Automation & Tooling

- Python Mastery: Expert-level Python skills for building custom test tooling and automation scripts.
- Testing Stack: Hands-on proficiency with Pytest (API), Playwright (E2E), and JMeter (Performance).
- DevOps: Advanced experience designing and maintaining GitHub Actions/Workflows for automated test execution.

Core AI & LLM Expertise

- Learning Agility in GenAI : High capability and interest in rapidly mastering AI evaluation concepts. You should be prepared to quickly upskill in automated metrics for LLMs (such as Faithfulness, Relevancy, and Groundedness).
- Exposure to LLM Logic : Basic familiarity with how LLMs function (e.g., prompting, context windows). You should be comfortable exploring and implementing "LLM-as-a-Judge" strategies, where high-reasoning models help grade application-specific outputs.
- Orientation toward RAG Systems : Interest in understanding the mechanics of Retrieval-Augmented Generation (RAG). You will be responsible for defining how we validate the accuracy of data retrieved from our engineering context catalogues and vector databases.
- Data-Driven Quality Mindset : A strong desire to move beyond binary "Pass/Fail" results toward probabilistic quality monitoring, utilizing tools like Langfuse to analyze live traces and performance trends.

Responsibilities

Hybrid Test Automation: Architect a dual-layered automation suite:; Deterministic: E2E UI (Playwright) and API testing (Pytest/Requests).; Probabilistic: Automated evaluation of non-deterministic LLM outputs.; Shift-Left Integration: Embed automated quality checks directly into GitHub Workflows , enabling seamless CI/CD.

Requirements

Experience: 8+ years in Software QA; Problem Solving: Ability to define "quality" in an ambiguous, non-deterministic AI landscape.; Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.; 8+ years in Software QA