🛠 Tech Stack

💼 About This Role

You'll design and deploy multi-agent AI systems using LangGraph to solve complex enterprise challenges. You'll drive LLM orchestration and reinforcement learning initiatives for autonomous agents. This role offers a chance to scale cutting-edge AI across real-world enterprise applications.

🎯 What You'll Do

• Architect multi-agent systems with LangGraph for task automation
• Integrate knowledge graphs and vector databases for agent memory
• Optimize agent workflows with RLHF and real-time feedback loops

📋 Requirements

• 7+ years experience in AI/ML engineering
• Hands-on expertise with LangGraph or similar orchestration frameworks
• Deep knowledge of reinforcement learning (RLHF/RLAIF)
• Proven track record of scaling agentic AI into production

✨ Nice to Have

• Experience with knowledge graphs and vector databases
• Published research in multi-agent systems or LLM orchestration

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work in Chennai
• 💰 Competitive compensation & equity
• 📈 Professional development budget

🚩 Heads Up

• Job title and requirements mismatch: listed as Data Scientist but role demands Agentic AI Lead expertise
• Vague salary range not provided, estimated above market for location
• Overlapping tech stack requirements across multiple domains