Generative AI Engineer

Job description: KEY RESPONSIBILITIES · Design and own multi-stage ingestion pipelines — handling HTML, PDF, and image sources with layout parsing, metadata extraction, and vector storage · Architect RAG systems with hybrid search (BM25 semantic), document versioning, and cross-reference resolution · Build production-grade FastAPI services with typed response envelopes, OpenAPI compliance, and Langfuse tracing integration · Engineer prompt systems — structured prompts, prompt versioning, few-shot strategies, and judge-based evaluation · Integrate and manage LLM routing via LiteLLM: model fallback, cost control, and per-route configuration · Design agentic workflows using LangGraph: multi-step retrieval, tool use, and conditional branching · Build and maintain knowledge graphs in NebulaGraph / Neo4j — entity extraction, relationship modelling, and domain ontology alignment · Implement graph-augmented retrieval (GraphRAG) — combining vector search with graph traversal to surface context...