Sr. GenAI Engineer
Core
Design and evolve the agentic AI layer, including agent runtime, tool integrations, retrieval systems, and LLM observability for customer-facing AI agents.
Role type
Senior GenAI Engineer (Agentic AI Systems)
Builds
Agentic AI platform powering customer-facing agents across e-commerce, SaaS, healthcare, and financial services
Domain
Generative AI, Agentic AI, Backend Infrastructure
Required skills
Agent frameworks (LangGraph, LangChain), LLM APIs (OpenAI, Azure, Anthropic, Gemini), Vector databases (Milvus, Pinecone, Weaviate, Qdrant), Embeddings & reranking, Workflow orchestration (Temporal, Airflow, Prefect), Backend (Python/FastAPI), Backend (TypeScript/Node), Observability (Langfuse, OpenTelemetry), Cloud + DevOps (Docker, AWS/GCP)
Preferred skills
Multimodal model integration, Speech processing, Layout-aware document AI, Multi-agent patterns, Advanced retrieval research, Open-source contributions, Published papers/patents
Technologies
LangGraph, LangChain, OpenAI, Azure OpenAI, Anthropic, Google Gemini, Milvus, Pinecone, Weaviate, Qdrant, Temporal, Airflow, Prefect, FastAPI, Node, NestJS, Langfuse, OpenTelemetry, Docker, AWS, GCP
Responsibilities
Design agent runtime and control flow; Engineer persona and behavior; Orchestrate multi-provider LLMs; Extend tool ecosystem; Own retrieval and ranking systems; Build memory systems; Develop long-running workflows and data pipelines; Integrate AI with backend services; Lead architecture reviews and mentor junior engineers
Seniority
Senior, hands-on IC with mentorship responsibilities