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python genai llm multi-agent📋 Description
- Own the DS roadmap; translate bets into scoped DS problems with measurable hypotheses
- Drive cross-functional alignment to land DS in production
- Balance research with shipping; decide when to explore, converge, or kill a bet
- Set the technical direction for context engineering, agent frameworks, MCP tool registries
- Own the eval strategy; define metrics and regression gates
- Prototype when it matters; build a working agent or eval harness
🎯 Requirements
- 8+ years total experience in Data Science/ML
- 7+ years hands-on DS/ML; 1+ year people management
- 2+ years shipping production LLM/GenAI systems (Graph RAG, agents, evals)
- Track record of DS thought leadership; measurable bets
- Deep fluency in AI eval design, context engineering, retrieval, agents
- Strong Python prototyping; build agents/eval harness in days
- Nice to have: production multi-agent orchestration, enterprise SaaS domain
🎁 Benefits
- Hybrid work in Bengaluru, India (onsite as needed)
- Lead a DS team; influence product and platform
- Inclusive, Equal Opportunity Employer
- AI-native org with high-impact work on enterprise AI
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