Ryz Labs

AI Engineer

Posted 10 Days Ago

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Hiring Remotely in Buenos Aires, Ciudad Autónoma de Buenos Aires, ARG

Remote

Mid level

Software

The Role

Build and deploy production AI systems, including agents, RAG pipelines, evaluation infrastructure, model routing, and data connectors. Embed with real estate investment clients to scope, prototype, deploy, and productionize AI solutions. Partner with go-to-market teams, explain technical trade-offs, maintain client relationships, and convert custom implementations into reusable platform capabilities.

Summary Generated by Built In

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:

1. Building our core AI systems: the agents, pipelines and evaluation infrastructure behind everything Smart Bricks does

2. Deploying them with clients: working embedded with real estate private equity funds, institutional investors and family offices to solve their hardest problems with AI

You write production code, ship it and own it. On client work you partner with our GTM team: they open the door and frame the problem, you scope, build and deploy the solution. What you learn in the field goes straight back into the platform, so every deployment makes the product better.

What you'll do:

• 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

What we are looking for:

• 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

Skills Required

3+ years shipping production software
Production experience building with LLMs, including agents, RAG, tool use, evaluations, and context engineering
Experience with LangGraph, LlamaIndex, MCP, or similar technologies
Strong understanding of AI model selection and accuracy, cost, and speed trade-offs
Solid machine learning fundamentals, including evaluation and problem decomposition
Track record of owning engineering outcomes end to end
Ability to work directly with clients and explain technical trade-offs
Cloud fundamentals using AWS, GCP, or Azure
Experience with data pipelines and enterprise security practices
Ability to work across UK and GCC hours
Experience with Python and/or TypeScript

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The Company

HQ: Buenos Aires

31 Employees

Year Founded: 2021

What We Do

Where startups soar! We're not just building startups - we're crafting the future. From ideation to execution, we provide the blueprint for startup success. We specialize in nurturing startups from the ground up, and supercharging existing ones with our top-tier technical talent solutions. Join us at Ryz Labs, where we turn promising ideas into thriving businesses. Let's shape the future of innovation together!