Key Responsibilities

Build and maintain RAG pipelines, prompt/agent workflows, and evaluation harnesses for internal engineering use cases
Support fine-tuning and domain adaptation of LLMs for automotive requirements engineering and compliance documentation
Work on reducing hallucination and improving reliability via knowledge-graph grounding and auto-evaluation frameworks
Prototype AI-assisted tools for requirements drafting, traceability, and test-case generation supporting the ASPICE pipeline
Explore applied-AI use cases beyond engineering (business development intelligence, HR process automation) under the 'AI+X' mandate
Document and present findings and working prototypes to engineering and product stakeholders

A Typical Day

Morning: check evaluation dashboards and overnight pipeline runs; triage failures and hallucination/quality regressions
Morning: build and iterate on RAG pipelines, prompts, and agent workflows for the ASPICE SOW-to-artifact use case
Mid-day:



pair with a Systems Software Engineer to test generated requirements or test cases against real project data and capture feedback
Afternoon: dataset preparation, fine-tuning or domain-adaptation experiments, knowledge-graph grounding work
Afternoon: extend the evaluation harness — add cases, measure accuracy and hallucination rate, log results
Late day: document findings, update the prototype backlog, prepare short demos for stakeholders
Weekly rhythm: review with the GenAI/Applied AI Lead on use-case prioritisation; periodic 'AI+X' discovery sessions with SW, HW, BD and HR

Required Skills

Strong foundation in Python and NLP/deep learning fundamentals
Familiarity with LLM APIs (Anthropic, OpenAI, or similar) and RAG concepts
Understanding of prompt engineering and basic agent-framework concepts
Analytical mindset and comfort with ambiguity typical of a proving-ground role

Positive-to-Have Skills

Exposure to automotive or engineering-domain data
Experience with workflow-automation frameworks (e.g. n8

📌 GenAI/Applied AI (Pune)
🏢 Interface Microsystems
📍 Pune