We are hiring a Developer for AI Development & Engineering to design, build, and operate production AI systems end to end. You will work across the full AI stack: classical machine learning, deep learning, and modern generative AI (LLMs, RAG, and agentic workflows). You will turn ambiguous business problems into AI capabilities our users trust, taking ownership from data through deployment, monitoring, and iteration.
Our developers work fluidly across AI-assisted coding (Claude Code, Cursor), AI ML /Clude and traditional manual coding, deploying onto Azure with Git-based workflows and CI/CD. We expect strong software engineering instincts, comfort with experimentation, and a bias toward making AI systems observable, evaluable, and safe in production.
Key Responsibilities
Design, train, evaluate, and ship machine learning and deep learning models (classification, regression, ranking, vision, NLP, time series) against well-defined business and scientific problems.
Design and implement LLM-powered applications using major model providers (Claude/Anthropic, Azure OpenAI, OpenAI, or equivalents).
Build retrieval-augmented generation (RAG) systems, including chunking strategies, embeddings, vector store selection (e.g., Azure AI Search, pgvector), and re-ranking.
Develop agentic workflows with tool use and orchestration; implement guardrails, evaluation harnesses, and human-in-the-loop review where appropriate.
Apply prompt engineering, fine-tuning, and structured output techniques; measure quality with offline evals and online metrics.
Build and maintain robust data and feature pipelines on Azure; ensure data quality, lineage, and reproducibility.
