SENIOR AI ENGINEER (FULL-STACK)
Role details
Job location
Tech stack
Job description
As a Senior AI Engineer (Full-Stack / Applications), you will design, build, and operate production-grade, cloud-native applications with AI at their core. This role sits at the intersection of strong software engineering and deep AI expertise, with a focus on turning state-of-the-art AI capabilities into robust, scalable, and high-quality user-facing products.
You will work across the full lifecycle of AI-powered systems: from evaluating and optimizing models, to integrating them into end-to-end applications, to deploying, monitoring, and iterating on them in production. You might be stronger in application development or AI applications work - but we expect everybody to grow & collaborate cross-functionally.
You will be flexibly assigned to short-term PoCs, mid-term MVPs, and long-term product development, based on your skills, interests, and company priorities.
Our current Tech-Stack: Google Cloud, Firebase, Python, Typescript, Terraform, Github, Cloud Firestore, EventArc, PubSub, GCIP, Cloud Storage, Cloud Functions v2, React, BigQuery, Github Actions, ElasticSearch, commercial AI services, Open Source AI Models. WHAT YOU WILL BE DOING
- Own AI-powered features end-to-end, from scoping, design and requirements engineering to feature evaluation, deployment and operation.
- Design, build and maintain cloud-native, event-driven AI applications across the full stack.
- Evaluate, integrate, and optimize AI models for production use (quality, latency, cost).
- Build and maintain robust AI inference, evaluation, and monitoring pipelines.
- Collaborate closely with product, design, and non-technical stakeholders to identify requirements and turn business needs into value-creating technical solutions.
- Operate and improve production systems, taking ownership of reliability, quality, and technical debt.
- Plan, track, and break down work effectively in an agile team.
Requirements
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Pragmatic, result-oriented analytical problem solving skills that can overcome ambiguity.
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Self-organised, purpose-driven individual that likes to collaborate with and enable their team.
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Friendly, concise, audience-oriented communication in written and spoken form (English).
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A T-shaped engineer with strong general software engineering and AI skills, paired with deep expertise in at least one area:
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Frontend: Advanced experience with React and TS, building high-quality, user-facing apps.
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Backend: Deep experience designing and operating scalable, event-driven Python systems in cloud-native environments.
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AI: In-depth knowledge of frontier AI models, evaluation, integration into AI-powered product features, and production best practices., Proven experience owning features end-to-end, from technical design to production., Strong understanding of how to integrate AI into production systems, including the challenges of non-deterministic behavior., Experience building and operating cloud-native systems, ideally on Google Cloud / Firebase with solid DevOps and MLOps fundamentals, including CI/CD, observability, and Infrastructure as Code. WHAT WE'D LOVE TO SEE
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Experience in the publishing or media industry.
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Experience with our entire TechStack
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Experience with MLOps on Vertex AI & Weights and Biases
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Experience applying & implementing SRE methodologies
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Advanced understanding of ML, LLMs and trends in the AI market
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Specialized, deep expertise in a relevant area.
Benefits & conditions
A highly innovative core AI startup offering:
- Competitive salary
- Work at the forefront of technology with a Rockstar team (Ex-Google, Ex-Amazon)
- Great career development opportunities, incl. learning and development budget
- 100% fully-remote (Croatia, Germany, France, Lithuania, Netherlands, Poland, Sweden, UK)
- Great work-life balance (#familyfirst)
