Lead Agentic AI Engineer
Core
Design, develop, and integrate agent-based systems that can reason, plan, retrieve information, use tools, communicate with other agents, and automate complex business workflows.
Role type
Senior IC Agentic AI Engineer (Backend/Data Engineering focus)
Builds
Production-grade AI agents, scalable APIs, data pipelines, and enterprise integrations
Domain
Cloud-native AI / Agentic AI / Enterprise Automation
Deliverable
production ML models | product features
Required skills
Agentic AI concepts (tool calling, planning, reasoning, memory, multi-agent workflows), MCP (Model Context Protocol), A2A (Agent2Agent), LLM frameworks (LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI), Python, Backend development, Data engineering, RAG (Retrieval-Augmented Generation), Vector databases, Cloud platforms (AWS Bedrock, Azure AI Foundry, GCP Vertex AI)
Preferred skills
Java, Node.js, GraphRAG, System design, Observability
Technologies
AWS Bedrock, Azure AI Foundry, GCP Vertex AI, LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, MCP, A2A, Pinecone, Weaviate, FAISS, Chroma, Milvus
Responsibilities
Build intelligent agents capable of tool use, workflow orchestration, and multi-agent collaboration; Develop backend services, APIs, and connectors for AI agents; Implement RAG solutions using vector databases and semantic search; Evaluate, test, and improve agent performance and security; Debug and resolve issues related to agent behavior and production deployments
Seniority
Senior, hands-on IC