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# AI Engineer

- **Company:** Axmed
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Continuous Integration, Software Debugging, Python (Programming Language), Operational Databases, Data Logging, Large Language Models, Build Management, Kubernetes, Human in the Loop
- **Published:** August 5, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=46a30154e5511c01

## About the Role

* Strong software engineering fundamentals: you can build reliable systems, not just call an LLM API
 * Fluency with the modern agentic stack: LLM APIs and orchestration frameworks, tool use and function calling, Python, cloud infrastructure, CI/CD
 * Ability to design human-in-the-loop systems, knowing where automation should stop and a person should step in

Experience

 * You have built and shipped AI agents into a live production environment, not just prototyped them
 * You have owned systems after launch: monitoring them, debugging failures, and iterating on real production data
 * You have worked in environments with ambiguity and limited infrastructure, where you decide the approach rather than execute one

## Description

We're hiring an AI Engineer to build production-grade autonomous agents that run the key steps of our procurement marketplace, with a human in the loop where it matters. This is not a research role. You'll ship agents into production that handle real transactions, real suppliers, and real buyers, and you'll be accountable for how they perform once they're live.

You'll work closely with our commercial and operations teams to identify which parts of the procurement workflow (sourcing, quoting, order matching, supplier follow-up, compliance checks, and more) are ready for agentic automation. You'll be the one who designs, builds, ships, and monitors those agents end-to-end.

What you'll own

 * Design and build end-to-end agents that autonomously perform key steps of the procurement workflow
 * Build in human review checkpoints where autonomy carries too much risk, deciding where agents should act alone and where they should flag for a person
 * Own the full lifecycle: design, build, deploy, monitor, iterate. You ship it, you watch it, you fix it
 * Instrument agents so failures are visible fast: logging, monitoring, and alerting, not just "it works on my machine"
 * Work directly with commercial and operations teams to map real workflow steps into agent specs. You'll need to understand the procurement process, not just the code
 * Make judgment calls on reliability, cost, and latency trade-offs for a live marketplace, and continuously improve agents based on real production data and failure modes


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