Staff ML Engineer (AI)

TL;DR

Staff ML Engineer (AI): Building and shipping AI-powered systems across the full lifecycle, with an accent on LLM applications, agents, and assistants that are accurate, reliable, explainable, and production-ready. Focus on designing RAG pipelines, tool-using agent workflows, evaluation/monitoring practices, and productionization patterns that other engineers reuse.

Location: Barcelona, CT, Spain (4 days/week from the Barcelona office, 1 day working from home)

Salary: €77,000 - €92,000

Company

hirify.global builds a data and AI platform and business management software to help teams automate workflows and make smarter decisions.

What you will do

• Set the technical direction for designing, building, and shipping AI-powered systems end-to-end.
• Own ambitious LLM initiatives (LLM applications, agents, assistants) and ensure accuracy, reliability, explainability, and production readiness.
• Design and implement RAG pipelines, tool-using agents, orchestration, prompting strategies, and evaluation harnesses using LangChain and the LLM ecosystem.
• Productionize ML work for Data Scientists and Analytics: build tooling, pipelines, frameworks, and monitoring; define patterns and standards for the team.
• Implement evaluation and monitoring to detect quality regressions, hallucinations, latency/cost issues, and changes in user or business behavior.
• Collaborate with Product, Engineering, Data, Operations, Sales, and Customer Experience to define success metrics, communicate trade-offs, and drive adoption.

Requirements

• Degree in Computer Science or a closely related technical field.
• 5+ years of experience as a Machine Learning Engineer, Software Engineer, or similar role, with a strong track record of taking AI/data-intensive systems to production.
• Strong Python engineering fundamentals: clean, tested, maintainable production code.
• Hands-on experience building LLM-powered applications with LangChain (or equivalent): RAG, agents, tool use, prompting, and evaluation.
• Deep experience across the full lifecycle of AI/ML systems: problem definition, prototyping, deployment, evaluation, monitoring, and iteration.
• Comfortable working in English and with distributed teams.

Nice to have

• Experience deploying and scaling LLM systems in production (latency, cost, reliability, safety).
• Experience with LLMOps/MLOps practices and tools (orchestration, evaluation, observability, vector databases).
• Experience with retrieval systems, embeddings, and prompt/agent evaluation.
• Experience working in SaaS/B2B products, HRTech, fintech, or business management software.
• Experience leading cross-functional initiatives with Product and Engineering teams.

Culture & Benefits

• Office-first, flexible approach: 4 days/week in the Barcelona office and 1 day working from home.
• High-growth, multicultural, friendly environment.
• Private health insurance (Alan) and Wellhub benefits (gyms, pools, classes).
• Learning and training based on individual needs.
• Additional perks: Cobee expense savings, Preply language classes, Payflow salary benefits, office breakfast/fruit, discounts, and pet-friendly office.

Hiring process

• Read and learn about hirify.global’s product, customers, data ecosystem, and current ML/AI initiatives.
• Pair with team members across Data, Product, Engineering, and business to analyze opportunities and define success metrics.
• Lead and contribute to high-impact AI workflows through short development cycles and experimentation.