AI Engineer

Ryz Labs is looking for an AI Engineer to work with one of our clients, a company in the real estate investment industry that develops AI-powered solutions to automate and optimize investment processes, including deal sourcing, financial analysis, due diligence, and portfolio monitoring. They work with real estate investment funds, institutional investors, and family offices to help them make better, data-driven decisions.

This is an AI engineering role with a forward-deployed edge. You'll split your time between:

• Build agentic systems: multi-step agents, tool use and workflows that handle real investment work: sourcing, underwriting, due diligence, IC memos and portfolio monitoring
• Own the AI stack: RAG and document pipelines, model routing across frontier and open models, prompt and context engineering, structured outputs into Excel and IC formats
• Make it trustworthy: build evals and observability for accuracy, cost, latency and reliability. In finance, every number has to trace back to source
• Build reusable infrastructure: connectors, data pipelines and components that make each new deployment faster than the last

• 3+ years shipping production software, ideally in Python and/or TypeScript
• Deep hands-on experience building with LLMs in production: agents, RAG, tool use, evals and context engineering (LangGraph, LlamaIndex, MCP or similar)
• Strong grasp of the AI landscape: which models to use for what, and how to trade off accuracy, cost and speed
• Solid ML fundamentals: evaluation, problem decomposition, and knowing when not to use an LLM
• A builder's track record: founding engineer, early startup hire, ex-founder or ex-CTO, or a top engineering team where you owned outcomes end to end
• Comfortable in front of clients. You can explain technical trade-offs to a fund partner, then go and build it
• Fast and pragmatic. You'd rather ship something real this week than perfect a diagram
• Cloud fundamentals (AWS, GCP or Azure), data pipelines, and awareness of enterprise security: data isolation, access controls, no training on client data
• Comfortable working across UK and GCC hours

Originally posted on Himalayas