At Gangkhar, we’re building the next-generation insurance infrastructure. Our AI-native protection platform enables partners to design, deploy, and scale world-class protection programs in just a few weeks.
We're looking for an AI Engineer with a hands-on mindset and a product mentality. You'll build the agent platform that powers Gangkhar: the infrastructure where AI agents are designed, evaluated, governed, and operated at scale. You'll work on Sherpa Mesh, our internal reference agent platform built and maintained by our infrastructure team — extending it, building on it, and, when needed, contributing to it directly. You'll collaborate closely with the architects who own client discovery and agent design, turning their specs into production-grade agents.

What Kind of Engineer We’re Looking For
This is a role for an engineer who cares how the code is built, not only whether it runs.
You build capabilities, not one-offs. Faced with a stakeholder-specific request, you find the reusable shape underneath it — and you know when a request genuinely is specific.




You think in modules and boundaries. You know what belongs together, what doesn't, and you can say why.
You design before you type, and you can defend a design in a conversation with an architect and in plain language with a non-technical stakeholder.
You are precise: clear names, explicit behaviour, no guessing at what a function does from the outside.
You leave a codebase more coherent than you found it, and you read an unfamiliar system with its grain before proposing changes.
You work with coding agents daily and own every line they produce. Output volume is free now; judgment is the scarce part — we want engineers who reject their agent's work, not who ship it.
If "it works for this client, ship it" is your standard, this isn’t the role.

Your Impact
Design, build, and deploy LLM-powered agents and multi-agent systems within Sherpa Mesh, our internal agent platform (agent manifests, registry, runtime, dele

📌 Artificial Intelligence Engineer (Madrid)
🏢 Gangkhar-ES
📍 Madrid