Who you are

- 3+ years of experience in software engineering, machine learning, or applied AI, with a track record of delivering features to completion

- Solid software engineering fundamentals (testing, modular design) in Python

- Experience taking AI or LLM-powered features from concept through deployment, and contributing to their ongoing maintenance

- Familiarity with automated testing strategies for non-deterministic systems, and sound debugging and analytical skills for investigating ambiguous model behavior
- A working understanding of prompt engineering and prompt lifecycle management, RAG architectures and retrieval evaluation, and common LLM limitations and failure patterns

- Experience using Data Analytics techniques (SQL, analysis, and visualization) to inform product decisions and delivery
- A product mindset and a genuine interest in understanding our product and customer needs to build the right solutions
- The ability to independently drive work to completion, and to know when to seek guidance on ambiguity

- Clear communication of trade-offs, risks, and system performance, including the uncertainty inherent in AI systems, to your team and stakeholders

- Experience contributing to ambiguous projects and communicating technical risks to stakeholders

- Exposure to production-grade evaluation using more advanced metrics and statistical validation

- Hands-on experience with model fine-tuning, adversarial red-teaming, or safety testing

What the job involves

- We are seeking an AI Engineer specializing in LLMs to help build, evaluate, and ship production-grade generative AI systems
- In this role, you will independently deliver LLM features, from prototype to production, applying solid engineering and evaluation practices, and growing toward end-to-end ownership of larger,



more ambiguous problems

- Build and ship LLM-powered application features (chatbots, copilots, agents, internal tools), combining components like RAG pipelines, agents, and APIs

- Run and extend LLM evaluations (evals) for the systems you build, using and improving existing gold-standard datasets and benchmarks, implementing automated eval checks and scoring, and applying defined metrics for factuality, grounding, robustness, and user impact

- Diagnose and resolve failure modes (hallucinations, retrieval issues, tool-use errors)

- Apply advanced prompt engineering techniques and follow prompt versioning and lifecycle practices

- Incorporate latency, cost, and reliability in your implementation choices, and consider production trade-offs

- Collaborate cross-functionally with engineers, product, data, and design to deliver the right solutions

- Follow established practices for responsible AI, including safety, PII handling, and observability

The application process

- All applications and CVs must be submitted in English

Benefits

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

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

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

- Meal Perk: €150/month allowance on your Alan card + 50% off Ametller Origen prepared dishes at the office.

- Tax-Free Savings: Increase your take-home pay by using Adaptable Remuneration for extra meal costs (up to €70/mo) and public transport (up to €136/mo).

- Free Spanish classes
- Home Office Gear: We provide a table, ergonomic chair, and monitor for your home setup.

- Great culture & working environment with an international team of over 60 different nationalities

📌 AI Engineer (Barcelona)
🏢 Lodgify
📍 Barcelona