AI Platform Engineer
Role details
Job location
Tech stack
Requirements
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5+years of Python development experience;
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Experience building and deploying production systems (not just prototype);
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Hands-on experience with LLMs, APIs and distributed systems;
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Ability to debug and validate AI-generated outputs;
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Solid software engineering experience, including scalability, testing, and maintainability;
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Fluent in English, able to collaborate in a distributed, international environment;
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Bachelor's degree or above in Computer Science or a related field., * have built AI systems in production and taken ownership of delivering them end-to-end;
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are a pragmatic problem-solver who focuses on real-world impact rather than purely theoretical solutions;
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can balance speed of delivery with system reliability in fast-moving environments;
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are comfortable working with ambiguity and evolving requirements in AI-driven or product environments;
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collaborate effectively across product and engineering teams in building scalable Systems., * Experience with RAG / embeddings / vector DB;
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Experience building internal tools or platforms;
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Familiarity with AI evaluation / Monitoring.
Benefits & conditions
We are building production AI systems used across multiple products in our company, from automation and agentic workflows to platform-level AI services. This role focuses on turning AI capabilities into reliable, scalable systems used by real users.
At our company, AI is becoming a core part of how we build, ship, and scale as an AI-native company. From agentic workflows to AI-driven features, the focus is not just speed, but building systems that work reliably at scale.
We're now looking for an AI Platform Engineer to help turn AI from experimentation into scalable systems used across multiple products.
In this role, you will help:
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turn AI models and prototypes into production-ready systems that power real product experiences;
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build ML-powered services used by multiple product teams across the company;
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enable AI workflows with robust data and infrastructure to support automation at scale;
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accelerate the development of features such as recommendations, personalization, and intelligent automation;
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evolve our internal AI systems while improving reliability and observability.
If you enjoy working at the intersection of AI, engineering, and real-world impact, this role is for you.
What You'll Own & Drive
You'll be part of the AI Platform Squad, building internal AI systems that enable our transition toward an AI-native engineering model across teams and products.
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Build and operate production-grade AI systems (API-first);
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Translate product use cases into reliable AI services with clear inputs/outputs;
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Ensure quality and safety of AI outputs (validation, fallback, logging);
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Collaborate with product squads to ship AI features to users quickly;
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Contribute to the evolution of shared AI infrastructure across the Company., * Work on AI that ships to real users and drives product impact at scale;
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High ownership and autonomy, turn ideas into features and iterate quickly;
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Influence beyond code, contribute to engineering standards and product direction;
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International, remote-friendly team (Barcelona / Berlin / Shanghai);
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Fast-moving environment with real execution and low bureaucracy;
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Strong growth and learning opportunities as we scale AI across the company;
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Generous time off and a culture that respects wellbeing., * 15 paid holidays with annual increments of 2 days (maximum 23 paid holidays);
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Flexible work shifts;
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Catered food and drinks;
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English classes;
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Global Gathering;
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Annual health check and gym reimbursement;
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Additional commercial medical insurance and employee assistance program (EAP).