AI Engineer

⭐ Role Overview

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.

⭐ How will you make an impact?

• 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.

⭐ What makes you a great fit?

• 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.

⭐ How can you earn extra bonus points?

• 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.

🏠 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 Flexible Remuneration for extra meal costs (up to €70/mo) and public transport (up to €136/mo).

🖥️ Home Office Gear: We provide a table, ergonomic chair, and monitor for your home setup.

🇪🇸 Language Learning: Free Spanish classes.

🤑 Referrals: Cash rewards for bringing in new talent.

🌟 Social Life: Daily office breakfast and monthly team events

🎯 Dynamic Hub: A high-energy, inclusive environment designed for collaboration and connection with a team that represents over 60 countries.

*Benefits offered may differ based on the type of contract that is issued

So, what are you waiting for? Apply now!

All applications and CVs must be submitted in English 😉