Senior AI Engineer

๐Ÿข Lodgify ยท all Lodgify jobs
๐Ÿ“ Spain
๐Ÿ“… Posted 2026-07-12 ยท via Himalayas
๐Ÿท Software-Engineer,AI-Engineering,Machine-Learning-Engineering,LLM-Engineering,Generative-AI,Senior-AI-Engineer,Senior-AI-Engineering,Senior-Lead-AI-Engineer,Senior-AI-Software-Engineer,Senior-AI-ML-Engineer,Senior-Software-AI-Engineer,Senior-Applied-AI-Engineer,Senior-AI-Analytics-Engineer,Senior-ML-Engineer,Senior-AI-Data-Engineer
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โญ 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.

โญ 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.

โญ 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.

โญ 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.

โญ 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.

Why youโ€™ll love us:
Youโ€™ll be part of a growing, dynamic company with a truly international team. At Lodgify , we are full of contagious energy, hard work, and passion for what we do. We celebrate diversity and are proud to acknowledge a variety of backgrounds, perspectives and skills in our team; committed to creating a workplace where everyone is heard and feels a sense of belonging.

What's in it for you? *

๐Ÿ  Remote Flexibility : The freedom to work from home any day that works for you.

๐ŸŒด Time to Recharge: 25 working days of paid vacation and Jornada Intensiva in August..

๐Ÿ’Š Alan Health Insurance : Premium health, dental, and mental health support via Alan. Pre-existing conditions are covered.

๐Ÿ˜‹ Meal Perk: โ‚ฌ150/month allowance on

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