
Document Retrieval AI Lead
- Bangalore, Karnataka
- Permanent
- Full-time
- Own end-to-end RAG solutions - orchestrate chunking, embedding, ranking, prompting and answer synthesis for production-grade GenAI assistants
- Measure what matters - define and track precision, recall, latency and user-adoption KPIs; drive continuous improvement
- Collaborate & iterate - Pair with engineers, UI/UX, and business experts to release improvements at pace
- Lead and mentor - Guide and coach the small squal of AI engineers
- 8+ years building production-grade AI or search systems, including 2+ years hands-on with RAG
- Expert Python/PySpark and respective frameworks
- Proven track record tuning LLM prompts, embeddings and fine-tuning loops to maximise results relevancy and recall
- Excellent written and spoken English; comfortable working with global teams
- Bachelor's or Master's degree in Computer Science (or equivalent)
- Team player with a 'can do' attitude
- Self-directed & proactive: you surface problems and drive them to resolution
- Data-driven pragmatist: anchor decisions in metrics and user feedback, not hype.
- Calm under pressure balance delivery speed with development quality
- Learning accelerator: stay current with retrieval research and share knowledge generously
- Understanding of (re)insurance
- Familiarity with Palantir Foundry
Reference Code: 135004