AI Architect

Hands-on experience with Python preferred, plus Java or .NET; strong software engineering knowledge and familiarity with design patterns. Experience building LLM solutions, including RAG pipelines, prompt engineering, agent frameworks such as LangChain or LlamaIndex, and evaluation using gold sets, metrics, and red-teaming. Proven experience training or fine-tuning custom LLMs, not only consuming managed APIs. Expertise with vector databases and embeddings, such as FAISS, Pinecone, and pgvector…