Startup-Jobs in Italien

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.

The Senior AI Application Engineer is a Full-Stack engineering role focused on designing, developing, and maintaining scalable, cloud-native applications with AI capabilities at their core. This role requires strong production level Full-Stack expertise, with a very good understanding of how to effectively integrate state-of-the-art AI tools and services.

This role prioritizes software engineering over deep AI knowledge—focusing on building robust, user-facing applications that utilize AI capabilities effectively for high-quality user experiences.

In this role you will be flexibly assigned to mid-term MVP projects and long-term product development, based on your preferences, skills and company priorities.. There is also an opportunity to be involved in short-term PoC projects.

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, commercial AI services, Open Source AI Models.

• Collaboratively design and implement AI experiences as event-driven cloud-native systems.

• Implement technical designs across the stack with a high level of automation.

• Explore, design and implement high-quality, secure AI application features.

• Effectively & efficiently plan and track work in our task tracking tool.

• Collaborate effectively with cross-functional team members, including non-technical stakeholders, to refine requirements and align technical solutions with business objectives.

• Capture and analyse application data for a data-driven approach to improving our products.

• Continuously improve the quality of our codebase and our agile processes.

• Maintain our production environment and proactively take ownership of features & issues.

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

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

• Self-organised, purpose-driven individual who likes collaborating with and enabling their team.

• Proven experience in owning features from technical design to release..

• Expertise in Full-Stack development, specifically with React, TypeScript, and Python.

• Strong experience architecting, building & optimizing scalable Full-Stack applications and event-driven, cloud-native systems, particularly on Google Cloud and Firebase.

• Experience seamlessly integrating AI capabilities with a strong focus on existing and emerging software engineering best practices for non-deterministic features.

• Strong DevOps capabilities: CI/CD pipeline implementation, observability, IaC (Terraform).

• Experience breaking down work into actionable tasks and refining requirements with stakeholders.

• Experience leveraging and refining agile processes within a team.

• Proven experience in quickly adopting new technologies & frameworks.

• Able to implement Clean Architecture & Onion Architecture principles.

• Experience in the publishing or media industry.

• Experience with our entire Tech-Stack.

• 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.

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)