Senior GenAI & Agentic Workflows Engineer

Job description

Experience : 6 to 15 Years (2+ GenAI & Agentic AI) **Role Objective** We are looking for a Senior AI Engineer to build autonomous, multi-agent systems. You will move past simple prompting to engineer stateful, self-correcting workflows that allow LLMs to plan, execute tasks, and use enterprise tools independently. **Responsibilities** Design multi-agent architectures and stateful DAGs using LangGraph, CrewAI, or AutoGen. Connect LLMs to APIs and build high-performance RAG pipelines using vector databases (Qdrant, Milvus, Pinecone). Deploy production monitoring (LangSmith/Langfuse), establish LLM-as-a-Judge evaluations, and implement security guardrails. **Technical Stack Required** LangGraph, CrewAI, or Semantic Kernel. Python or Go/TypeScript. Docker, Kubernetes, and Cloud AI platforms (AWS Bedrock, Azure AI, or GCP Vertex AI). ReAct loops, function calling, and Model Context Protocol (MCP).