Description

You will drive the architecture and implementation of advanced Agentic AI systems.

Responsibilities

• Design and develop multi-agent AI systems using LangGraph for workflow automation and autonomous problem-solving.
• Develop and optimize agent orchestration workflows, implementing knowledge graphs and RAG techniques.
• Lead research into Agentic AI, multi-agent systems, and self-improving AI agents.
• Translate Agentic AI capabilities into enterprise solutions, leading proof-of-concept projects that demonstrate business impact.
• Mentor AI Engineers and Data Scientists, establishing best practices for model evaluation and deployment.

Required Skills

• 5+ years of professional experience in AI/ML engineering.
• Expertise in LangGraph for agent workflow orchestration.
• Strong understanding of LLM integration and architecture design.
• Experience implementing Retrieval-Augmented Generation (RAG) patterns.
• Familiarity with vector databases (Pinecone, Weaviate, FAISS).
• Experience applying Reinforcement Learning methodologies (RLHF/RLAIF).
• Ability to architect scalable, context-aware AI agents.

Key Skills

Education

Any Gradute