AI Engineer (Generative AI / RAG)

We are hiring an AI Engineer to build production generative-AI applications for our enterprise clients. You will build RAG pipelines, prompts, LLM integrations and content guardrails as part of a small delivery team under a Solution Architect.

Build RAG pipelines: chunking, embeddings, hybrid retrieval and custom ranking.Write and maintain prompts and structured outputs for multilingual content generation.Integrate LLMs behind a routing layer that allows model swaps without code changes.Implement content guardrails: prohibited terms, policy rules, content-safety checks and approval workflows.Build explainability output retrieved sources and confidence signals for each generation.Run model evaluations and A/B comparisons; track quality, latency and token cost.Work with backend, frontend and DevOps engineers; document what you build.

4+ years Python; 23+ years building LLM applications in production.RAG fundamentals: embeddings, vector search, hybrid retrieval, chunking, evaluation.Experience with any LLM API (Azure OpenAI, OpenAI, Anthropic, Gemini).Experience with any vector database (pgvector, Azure AI Search, Pinecone, Qdrant, Weaviate).LangChain or LangGraph (or LlamaIndex / similar).Preferred SkillsLLM evaluation tools (RAGAS, DeepEval, promptfoo) and observability (Langfuse, LangSmith, App Insights).Fine-tuning experience (LoRA / Hugging Face).

Bachelors in Computer Science or related field.Clear communication and ability to work in a client-facing delivery team. .