Agentic AI Engineer / Architect (Mid to Senior / Staff)

About this role

We are looking for an experienced Agentic AI Engineer / Architect to design, build, and scale autonomous AI agents and multi-agent systems. The ideal candidate will have hands-on expertise in LLMs, agent orchestration frameworks, and production-grade AI platforms. Key Responsibilities: Design and develop autonomous AI agents with tool-calling, planning, reasoning, and memory capabilities Build multi-agent orchestration and workflows using LangGraph, CrewAI, AutoGen, LangChain Implement RAG, long-term / short-term memory, and context management for agents Develop scalable backend services and APIs (FastAPI) for agent deployment Architect resilient, event-driven and state-machine based agentic systems Work on LLM infrastructure, vector databases, and MLOps for production scaling Define evaluation frameworks, observability, and performance optimization for agents Collaborate with product, data, and platform teams for enterprise integration Must-Have Skills: Python, LLMs / LLM APIs, LangChain, LangGraph / CrewAI / AutoGen, RAG, Prompt Engineering, Tool-calling / Function Execution, ReAct & Planning Loops, Vector DBs (Pinecone, Weaviate), FastAPI, System Design, Evaluation & Observability, Kubernetes, MLOps Preferred Skills: Temporal, Event-Driven Architecture, Knowledge Graphs, Fine-tuning, Distributed Systems, Cost Optimization for LLMs, Enterprise API Integrations Qualification: B.Tech / M.Tech / MS in Computer Science, AI, or related field with proven experience in AI / GenAI / Agentic AI projects. Originally posted on Himalayas

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