What you’ll doDesign and architect AI agentsDesign reusable AI agent patterns for Product workflows such as research synthesis, PRD (Product Requirement Document) drafting support, roadmap analysis, operational triage, and knowledge retrieval.
Define agent instructions, tool schemas, guardrails, and structured output contracts.
Architect human‑in‑the‑loop decision boundaries where appropriate.
Integrate agents into product workflowsIntegrate AI agents into Microsoft 365, Copilot Studio, Power Platform, AWS services, and internal systems.
Define and maintain action interfaces between agents and deterministic systems (APIs, workflows, runbooks).
Ensure reliable orchestration across conversational and workflow layers.
Own quality, evaluation, and governanceDefine measurable success criteria for agent outputs.
Build lightweight evaluation frameworks and regression testing for prompts and behavior.
Monitor output quality, hallucination risk, cost, and drift over time.
Establish safe usage guidelines and governance boundaries.
Operate and improve in productionMonitor agent usage, reliability, and impact.
Optimize performance, token efficiency, and response structure.
Iterate on agent behavior based on real usage patterns and feedback.
Proactively identify new opportunities where AI agents can improve Product workflows.
QualificationsMust‑have6–8+ years of experience building and owning production systems end to end.
Strong system design skills, including event‑driven and serverless architectures, with clear trade‑off reasoning.
Experience integrating systems through APIs, webhooks, REST, and Graph.
Practical experience designing or integrating AI or LLM‑powered workflows in production.
Strong independent ownership and architectural judgment.




Ability to translate ambiguous business needs into structured, scalable AI‑enabled solutions.
Excellent collaboration and communication skills.
Critical competenciesPrompt and instruction design as structured system artifacts.
Tool and schema design for AI agents.
Evaluation methodology for AI systems (quality metrics, regression testing, failure pattern analysis).
Understanding of LLM failure modes and mitigation strategies.
Experience designing guardrails, structured outputs, and human approval flows.
Nice to haveExperience with Microsoft Copilot Studio, Power Platform, or similar low‑code orchestration tools.
Experience with AWS services such as Lambda, Step Functions, EventBridge, or Bedrock.
Familiarity with conversational UX design.
Experience embedding AI into internal productivity workflows.
BenefitsPermanent contract and a competitive compensation package.
Convenient office location near the Bernabeu Stadium.
Private Health Insurance (Sanitas) and daily meal vouchers of €11 covered.
Hybrid work model balancing office and remote work.
Adaptable Hours and unlimited vacation.
Up to €25 per month for a gym subscription.
Versatile compensation plan for childcare and public transportation.
Reimbursement up to 50% for English and Spanish classes.
Fresh fruit, cookies, soft drinks, and protein shakes at the office.
Regular company and team events such as pizza talks, team‑building activities, Christmas parties, meetups, and more.
Bonuses for referring successful hires after three months of continuous employment.
Relocation package for people coming from another country.
Base salary €50,000 – €65,500 gross per year, with a total on‑target earnings range of €55,000 – €71,500 including an annual performance bonus.

📌 Ai Agent Engineer (Madrid)
🏢 Microsoft
📍 Madrid