AI Engineer (Agentic AI & LLM Applications)
Core
Design and deploy production-grade LLM applications and AI agents, transforming complex AI solutions from prototype to production.
Role type
Senior IC AI Engineer (Agentic AI & LLM Applications)
Builds
Scalable agentic workflows and intelligent systems
Domain
Generative AI, Agentic AI, LLM Applications
Deliverable
production ML models
Required skills
Python, LLM and AI agent development, prompt engineering, agentic graph architecture, tool calling, RAG systems, vector databases, Docker, cloud infrastructure
Preferred skills
LangSmith, Model Context Protocol (MCP), agent evaluation and benchmarking, event-driven architecture
Technologies
LangChain, LangGraph, LlamaIndex, pgvector, Pinecone, Weaviate, Qdrant, REST APIs
Responsibilities
Design and implement intelligent agents and workflows; Engineer multi-step workflows with tool calling and state management; Develop RAG systems with embeddings and vector search; Build evaluation frameworks for accuracy and latency; Establish production observability and guardrails; Own end-to-end deployment of AI solutions
Seniority
Senior, hands-on IC
