Forward Deployed Engineer, Mid-Market - Madrid (AI)

Location: Madrid, Spain; hybrid setup with 3 days per week at the Madrid office and 2 days remote.

Company

hirify.global deploys voice and multichannel AI agents for debt collection, working with banks and other lenders to improve recovery rates through personalized communication.

What you will do

• Run multiple mid-market customer implementations from kickoff to live agent launch on a fixed timeline of about four weeks.
• Configure and adapt AI agents using segment templates, customer policies, products, tone, contact windows, retry rules, channel mix, payment links, and human hand-offs.
• Set up customer data imports and exports through standard integration flows.
• Test agents with simulations and evaluations, troubleshoot failures, and analyze production performance using SQL and dashboards.
• Turn performance findings and repeated implementation work into agent improvements, templates, scripts, and tooling.
• Shape segment workflows, document live-customer handovers, and share product gaps and customer feedback with Product and Engineering.

Requirements

• 1–3 years of experience in a technical role such as software engineering, solutions engineering, implementation, technical support, or technical consulting; strong graduates are welcome.
• Ability to write Python and/or TypeScript and SQL, work with APIs, and handle data files.
• Ability to manage several projects simultaneously and keep each implementation on schedule.
• Structured, repeatable approach to work with an interest in automation.
• Clear communication with customers and teammates.
• Native-level Spanish and fluent English required.

Nice to have

• Hands-on experience with LLMs, including prompting, evaluations, or building small agents.
• Exposure to collections, lending, telecommunications, utilities, or other customer operations.
• Computer Science, Engineering, or Mathematics degree, or equivalent experience.

Culture & Benefits

• Hybrid and flexible work: 3 days per week in the Madrid office and 2 days remote by default.
• Stock options and the opportunity to contribute to an early-stage startup.
• Continuous learning through training, knowledge-sharing, and exposure to other startups.
• Inclusive and equitable workplace focused on diverse perspectives and respectful collaboration.

Hiring process

• First interview with a future teammate, followed by a technical deep dive with the Hiring Manager and potentially another team member.
• Practical tech assessment or business case, followed by a conversation with the founders.