Artificial Intelligence Architect - LangGraph

Key Responsibilities :

• Architect and implement agentic AI systems using modern LLM orchestration frameworks (LangChain, LangGraph, CrewAI, AutoGen, etc.).
• Design multi-agent collaboration models including planner-solver, autonomous teams, and goal decomposition agents.
• Build reusable tooling, APIs, and memory architectures for agent interaction, coordination, and context persistence.
• Lead hands-on development and deployment of GenAI applications (e.g., assistants, copilots, decision support).
• Evaluate and integrate LLMs (OpenAI, Claude, Mistral, LLaMA, etc.), vector databases (Pinecone, Weaviate, FAISS), and retrieval systems (RAG).
• Optimize agent performance for real-time environments, reliability, scalability, and ethical constraints.
• Guide teams in adopting agent frameworks, best practices, prompt engineering, and model fine-tuning.
• Collaborate with stakeholders to translate business requirements into technical solutions using agent-based paradigms.
• Continuously monitor trends in multi-agent systems, cognitive architectures, and open-source AI frameworks.

Must-Have Skills :

Good-to-Have Skills :

(ref : hirist.tech)