Experteer Overview
In this role, you will lead the design, evaluation, and deployment of production-grade generative AI systems focused on LLMs. You will own end-to-end solutions, from prototyping to scalable production, and set best practices in evaluation, reliability, and responsible AI. You will work closely with product, data, and leadership to shape AI strategy and deliver impactful, user-facing AI features. This role offers the chance to mentor others and raise the bar for AI across the company, within a fast-growing, international team.

Compensaciones / Beneficios
• Lead design and development of LLM-powered applications (chatbots, copilots, agents, internal tools)
• Own LLM evaluation strategy, including gold-standard datasets, automated eval pipelines, and metrics for factuality, grounding, robustness, and user impact
• Diagnose and resolve complex failure modes (hallucinations, retrieval issues, agent breakdowns)
• Optimize production systems for latency, cost, scalability, and reliability
• Mentor junior engineers and promote best practices in LLM development and evaluation
• Collaborate cross-functionally to shape AI strategy
• Set and uphold standards for responsible AI, including safety, bias mitigation, and observability





Responsabilidades
• 5+ years in software engineering, machine learning, and applied AI with delivery track record
• Strong Python software engineering fundamentals (testing, modular design, DI)
• Experience taking AI/LLM features from concept to deployment and ongoing production maintenance
• Experience with automated testing for non-deterministic systems and strong debugging/analysis for ambiguous model behavior
• Solid understanding of prompt engineering, prompt lifecycle management, RAG architectures, retrieval evaluation, and LLM limitations/failures
• Proficiency with data analytics (SQL, analysis, visualizations) to inform product decisions
• Heavy product mindset with ability to design user-focused solutions
• Strong tech leadership, mentorship, and independent project delivery
• Clear communication of trade-offs, risks, and system performance to stakeholders

Requisitos principales
• remote work option
• 25 days of paid vacation
• health insurance (Cigna) including travel and dental
• meal allowance and versátil remuneration plan
• home-office setup allowance
• free Spanish classes

📌 Senior AI Engineer (Barcelona)
🏢 Lodgify
📍 Barcelona