🛠 Tech Stack

💼 About This Role

You'll lead the development of semi-autonomous AI agents using LangGraph and LLM orchestration to solve complex enterprise challenges. You'll design, scale, and optimize multi-agent systems that drive automation and operational efficiency. This role offers hands-on research in cutting-edge Agentic AI.

🎯 What You'll Do

• Architect and scale multi-agent AI systems using LangGraph
• Develop and optimize agent orchestration workflows
• Implement knowledge graphs and RAG for enhanced reasoning
• Lead AI proof-of-concept projects and mentor engineers

📋 Requirements

• 5+ years in data science or AI engineering
• Expertise in LangGraph and multi-agent orchestration
• Proficiency in Python/PySpark and ML frameworks like PyTorch or TensorFlow
• Experience with knowledge graphs and vector databases (Pinecone, Weaviate, FAISS)

✨ Nice to Have

• Experience with reinforcement learning (RLHF/RLAIF)
• Familiarity with Kubeflow and BentoML
• Research publications in Agentic AI or related fields

🎁 Benefits & Perks

• 🏖️ Remote flexibility with hybrid work option
• 💡 Work on cutting-edge AI with leading technologies
• 📚 Learning and development opportunities
• 🏥 Health insurance and wellness programs

🚩 Heads Up

• Role mixes senior management and hands-on technical lead expectations
• Requires extensive skill set with over 30+ listed tools/technologies
• Job title 'Senior Data Science Lead' but description focuses on AI research and agentic systems