Staff AI Engineer (SaaS)

TL;DR

Staff AI Engineer (AI/SaaS): Developing an AI-native business management platform with an accent on API and integrations. Focus on building agentic workflows, RAG systems, and automated evaluation frameworks to ensure reliability in production.

Location: Must be based in Madrid, Spain (office-first, hybrid model with several days on-site)

Salary: €94,300 - €106,950

Company

A fast-growing SaaS company building AI-powered business management software that centralizes HR, Finance, and Operations workflows.

What you will do

• Build products using Spec Driven Development, leveraging LLMs for implementation and iteration.
• Design and implement reusable AI Skills to automate actions safely within hirify.global’s workflows.
• Develop and maintain automated and human-in-the-loop evaluation frameworks (Evals) to measure output quality.
• Implement Retrieval-Augmented Generation (RAG) to ground AI responses in trusted company data.
• Design agentic workflows that combine LLMs and rules to automate complex business processes.
• Own systems end-to-end, from initial problem definition to production monitoring and iteration.

Requirements

• Location: Must be based in Madrid, Spain.
• Proven experience building and shipping real AI-powered systems or workflows in production.
• Product-first mindset with the ability to design complete user experiences rather than isolated components.
• Strong software engineering fundamentals across backend, frontend, or ML.
• Ability to iterate fast, experiment, and adapt to new tools quickly.

Nice to have

• Experience with skill-based agents, MCP, or other AI protocols.
• Strong knowledge of APIs, cloud platforms, and system design.

Culture & Benefits

• Office-first flexible schedule supporting a balance of collaboration and deep work.
• Private health insurance through Alan and wellness memberships via Wellhub.
• Expense management via Cobee and language classes.
• Multicultural environment with office perks like organic fruit and breakfast.
• Pet-friendly workplace.

Hiring process

• Intro call with a Talent Partner.
• Hiring Manager interview focused on product mindset and problem-solving.
• Collaborative live technical challenge based on real-life problems.
• Final conversation with the CTO and VP of Engineering.