Artificial Intelligence Engineer

We're looking for an AI Engineer (8+ years) to design and ship production-grade GenAI systems — from RAG pipelines to knowledge graphs to conversational agents. You'll: Build and optimize RAG pipelines using vector databases, embeddings, and semantic search Design context windows, retrieval strategies, and memory management for LLM applications Develop AI chatbots and conversational agents using LLM APIs (OpenAI, Anthropic, Gemini, open-source models) Architect knowledge graphs and semantic layers (Neo4j, RDF, SPARQL, ontologies) to connect structured and unstructured data Build data pipelines and orchestration (Airflow/Prefect/Dagster) to feed AI systems at scale Fine-tune and deploy LLMs to production, with MLOps practices for versioning and monitoring (MLflow, W&B) You have: 8+ years Python-first engineering experience across data, AI, and backend systems Deep hands-on expertise in GenAI, RAG, prompt engineering, and vector/graph data architectures Strong SQL/NoSQL skills alongside vector and graph stores Ability to translate complex AI concepts into clear business outcomes #J-18808-Ljbffr