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 Agentic AI solutions, intelligent agents, scalable APIs, data pipelines, and AI-enabled applications
Domain
Cloud-native AI / Generative AI / Enterprise Automation
Deliverable
production ML models
Required skills
Agentic AI development, LLM application development, Backend development, Data engineering, Python, AWS Bedrock, Azure AI Foundry, GCP Vertex AI, MCP (Model Context Protocol), A2A (Agent2Agent), LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, Vector databases, Retrieval-Augmented Generation (RAG), System design, CI/CD, Docker
Preferred skills
Java, Node.js, GraphRAG, Experience with MCP clients/servers, A2A patterns, Enterprise integrations
Technologies
AWS Bedrock, Azure AI Foundry, GCP Vertex AI, LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, Strands, MCP, A2A, Pinecone, Weaviate, FAISS, Chroma, Milvus, Azure AI Search, Amazon OpenSearch
Responsibilities
Build and support production-grade Agentic AI solutions using cloud-native AI platforms; Design intelligent agents capable of tool use, workflow orchestration, and multi-agent collaboration; Develop backend services, APIs, and connectors to enable AI agents to interact with enterprise applications; Implement integrations using Model Context Protocol (MCP) and Agent2Agent (A2A) patterns; Evaluate, test, and improve agent performance including prompt quality, latency, and security; Debug and resolve issues related to agent behavior, API integrations, and production deployments.
Seniority
Senior, hands-on IC
