SqlDBM SqlDBM is the enterprise data modeling platform. Large regulated enterprises design, approve and govern their data models in it. Every company is deploying AI agents, and those agents are only as reliable as the truth they read. We’re building the layer agents rely on before they touch enterprise data, from the platform that already holds the models. About the role We’re hiring into the AI team. You’ll design and build the agentic layer of the product: the loop itself, the tools agents call, how context is selected and served, and the evaluation that proves it works. Not a chat feature. The engine. What you'll do Agents that operate on governed enterprise data models, with a human in the loop. Serving the right context to an agent for a given task, out of models with thousands of objects. MCP tools that let external agents work with the platform safely: permissions,



attribution, audit. Evaluation infrastructure that tells us, measurably, whether any of it is working. What AI-native means here : Your first move is an agent, not autocomplete. You’ve shipped AI into products: MCP servers or clients, agent architectures, tool-use frameworks, context pipelines, LLM integrations in production. You think about control flow, tool interfaces, memory, and how to know when the loop is wrong. We’re not hiring an API caller. Qualifications Proficiency in English Stack : Strongly typed languages. We run C#, Rust and TypeScript, and the list is a proxy for thinking in systems and types rather than a requirement to know all three.

📌 Senior Backend Engineer, AI-native (Argentina)
🏢 SqlDBM
📍 Argentina