Lead AI Engineer

🕒 il y a 1 mois

🇳🇱 Pays-Bas – Télétravail

💵 €7 400 - €9 200 / mois

⏰ Temps Plein

🟠 Senior

🤖 Ingénieur IA

👻 Score fantôme 4%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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All Your BI

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2019

💼 Conseil

📦 Logistique

☁️ SaaS

Consulting • Logistics • SaaS

Emojipedia est la principale ressource mondiale pour les significations, l'histoire et les designs des émojis. Elle propose des catégories pour divers émojis tels que les smileys, les animaux, la nourriture et bien d'autres, ainsi que des outils comme un générateur d'émojis basé sur l'IA et des jeux liés aux émojis. Emojipedia tient également ses utilisateurs informés des dernières actualités sur les émojis, des nouvelles versions et des informations des grands fournisseurs et plateformes comme Apple, Google et Microsoft. En outre, elle propose des guides et des statistiques sur l'utilisation et la culture des émojis.

Description

• Set the technical direction for AYBI's AI and GenAI work, the architecture, the build-vs-buy calls, and the honest judgment of when AI is the wrong tool. • Build and ship AI into our products and client solutions, LLM applications, RAG over messy real-world data, agents and tool-calling, and make them production-grade, not demo-grade. • Own reliability: evals as the unit tests of our AI (eval suites in CI, golden datasets), observability and tracing on every call, and guardrails against hallucination and prompt injection. • Keep AI affordable: track cost and latency per task, and use caching, routing, and the right model for the job rather than the biggest one. • Lead the productization push the team is starting, turn one-off work into repeatable, observable, dependable products, with the testing and monitoring to match. • Lift the engineers around you, through craft, clear direction, and the occasional workshop, and help the whole team adopt AI well. • You lead through your roles and accountabilities, not a reporting line; we self-organise. • Translate AI capability into real client value and push back on anything that's AI for AI's sake. • Stay close to the frontier: read what's new, test what's promising, bring back what's worth it.

🎯 Exigences

• Attitude: energy, curiosity. You bring positive energy to every call, and you'd rather ship something useful than polish something perfect. • Experience: ~3–5 years in software engineering, building and shipping AI/ML or GenAI systems in production. • AI/ML engineering, in production: you've built and shipped LLM/GenAI systems that real people use, RAG, agents, tool-calling, not notebooks and demos. • Strong Python, and you know the modern AI stack (LLM APIs across providers like Anthropic / OpenAI / open models, vector databases, an orchestration framework) well enough to know where it breaks. • Reliability & LLMOps: you make AI dependable, evals, observability and tracing, guardrails, prompt and version control, cost and latency budgets. • Technical leadership: you set technical direction others buy into, make the architecture calls, and leave the engineers around you better than you found them, through influence and clarity, not authority. • Client & business sense: you can tell AI that creates client value from AI that's just hype and explain which is which to a non-technical client. • Self-management: you thrive without a manager. Distributed authority, owning your roles, raising and resolving tensions, reshaping your work as it changes, that reads as freedom to you, not chaos. • Communication: strong in English. • Nice to have: data or BI background or consultancy experience; cloud + deployment muscle (AWS / Azure / GCP, Docker, CI/CD); model distillation, structured outputs, and multimodal pipelines.

🏖️ Avantages

• A salary between €7,400–€9,200 per month + impact bonus + profit sharing + pension (NL only) + €5,000 annual development budget + 8% holiday allowance (NL only) + €500 home-office budget + a laptop + team outings + informal drinks + the occasional well-earned "Hey, well done Buddy!" • 25 vacation days + public holidays + special leave + the option to buy up to 10 extra days + a sabbatical of up to 4 months • Work remotely: as long as it’s within a similar time zone, and you attend every quarterly company meeting in the Netherlands or abroad