SENIOR AI ENGINEER (FULL-STACK)

Ask a room of people to define the future of work, and you’ll likely get a dozen different answers. For some, it’s about focusing on more creative goals and automating daily tasks. To others, it creates a fear of being replaced in the near future. To us, the future of work means working alongside AI. Being in control of the best technology instead of being controlled by it.

CHAPTR is a part of the Holtzbrinck Publishing Group alongside businesses like Springer Nature, Digital Science and Macmillan Publishers. A dynamic startup fueled by our passion for technology and redefining the future of work. We build cutting-edge products and relentlessly push the boundaries of what is possible. 

We're actively building a diverse team, because diversity fuels fun and innovation. If you feel you may not meet all job requirements, apply anyway; we understand impostor syndrome but won't let it hinder hiring the best. We're a remote, #familyfirst company, offering flexibility while staying committed to our mission. If you're excited about innovation, eager to propel our projects, and passionate about AI, join CHAPTR on this thrilling journey.

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.

• 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.

• Pragmatic, result-oriented analytical problem solving skills that can overcome ambiguity.

• Self-organised, purpose-driven individual that likes to collaborate with and enable their team.

• Friendly, concise, audience-oriented communication in written and spoken form (English).

• A T-shaped engineer with strong general software engineering and AI skills, paired with deep expertise in at least one area:

• Frontend: Advanced experience with React and TS, building high-quality, user-facing apps.

• Backend: Deep experience designing and operating scalable, event-driven Python systems in cloud-native environments.

• 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.

• Experience in the publishing or media industry.

• Experience with our entire TechStack

• Experience with MLOps on Vertex AI & Weights and Biases

• Experience applying & implementing SRE methodologies

• Advanced understanding of ML, LLMs and trends in the AI market

• Specialized, deep expertise in a relevant area.

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)