🛠 Tech Stack

💼 About This Role

You'll architect and develop production-grade LLM agents and RAG pipelines, steering the full ML lifecycle from data prep to GPU-scaled deployment. You'll weave together modern tools into a secure, cost-aware platform, turning ambiguous ideas into high-impact GenAI products. This role offers the chance to mentor peers and work on diverse business functions at a family office.

🎯 What You'll Do

• Design and prototype GenAI solutions with LangChain and microservices.
• Orchestrate multi-step agent pipelines with LLM prompts and APIs.
• Own end-to-end ML lifecycle from data prep to deployment and monitoring.
• Deploy scalable systems on Kubernetes with GPU scheduling and CI/CD.
• Instrument observability and embed security/cost guardrails in pipelines.

📋 Requirements

• 7+ years in ML/AI with 2+ years in LLMs or Generative AI.
• Proven delivery of RAG or agentic systems in production.
• Expert-level Python and SQL; strong Spark and distributed computing.
• Production experience with Docker, Kubernetes, and CI/CD pipelines.