🛠 Tech Stack

💼 About This Role

You'll architect and scale multi-agent AI systems using LangGraph, driving automation and decision-making for enterprise challenges. Your work will directly impact operational efficiency and cost savings. This role combines hands-on development with research in self-improving AI agents.

🎯 What You'll Do

• Design and develop multi-agent AI systems with LangGraph
• Optimize agent orchestration workflows for performance and scalability
• Implement knowledge graphs and RAG for enhanced reasoning
• Lead PoC projects and scale prototypes to production

📋 Requirements

• Deep expertise in LangGraph and LLM orchestration
• Proven experience with multi-agent AI architectures
• Hands-on with knowledge graphs and vector databases
• 5+ years in AI/ML with focus on agentic systems

✨ Nice to Have

• Experience with reinforcement learning (RLHF/RLAIF)
• Background in enterprise application integration
• Published research in agentic AI or related fields

🎁 Benefits & Perks

• 🧠 Cutting-edge AI research environment
• 🌍 Hybrid work model in Bangalore
• 🚀 Lead production-scale AI systems