Senior AI Engineer

⭐ Who we are

Lodgify is a fast-growing scale-up company leading the vacation rental industry. Backed by $30M in funding, our platform empowers property owners and managers worldwide to efficiently manage and grow their business through technology.

Headquartered in sunny Barcelona, we're now a team of 380+ people representing over 60 nationalities, united by a passion for transforming the future of short-term rentals.

⭐ Role Overview

We are seeking a Senior AI Engineer specializing in LLMs to lead the design, evaluation, and deployment of production-grade generative AI systems. In this role, you will own end-to-end LLM solutions, from prototyping to scalable production, while establishing best practices in evaluation, reliability, and responsible AI.

⭐ How will you make an impact?

• Lead the design and development of LLM-powered applications (chatbots, copilots, agents, internal tools).

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Own and evolve the LLM evaluation (evals) strategy, including designing gold-standard datasets and benchmarks, building automated eval pipelines and scoring systems and defining metrics for factuality, grounding, robustness, and user impact.

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Diagnose and resolve complex failure modes (hallucinations, retrieval issues, agent breakdowns).

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Optimize systems for latency, cost, scalability, and reliability in production.

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Mentor junior engineers and guide best practices in LLM development and evaluation.

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Collaborate cross-functionally with product, data, and leadership to shape AI strategy.

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Set standards for responsible AI, including safety, bias mitigation, and observability.

⭐ What makes you a great fit?

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5+ years of experience in software engineering, machine learning, and applied AI with a track record of driving projects to completion.

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Strong software engineering fundamentals (testing, modular design, dependency injection) in Python.

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A track record of taking AI and LLM-powered features from initial concept through deployment and long-term production maintenance.

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Experience implementing automated testing strategies for non-deterministic systems, and strong debugging and analytical skills for ambiguous model behavior.

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A strong understanding of prompt engineering and prompt lifecycle management, RAG architectures and retrieval evaluation, and LLM limitations and failure patterns.

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Solid experience in using Data Analytics techniques (SQL, analysis and visualizations) to inform Product decisions and delivery.

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A heavy product mindset to deeply understand our product and our customer needs to design the right solutions for them.

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Strong tech leadership and mentorship skills, and the ability to independently drive projects to completion.

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Clear communication of trade-offs, risks, and system performance to stakeholders.

⭐ How can you earn extra bonus points?

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Proven experience driving ambiguous projects to completion, mentoring teams, and communicating complex technical risks to stakeholders.

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The ability to design robust, production-grade evaluation at scale using advanced metrics and statistical validation.

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Deep expertise in model fine-tuning, adversarial red-teaming, and safety testing to protect the system from edge-case vulnerabilities.