AI Platform Engineer

Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Their financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. The company has a team of 450+ employees working across offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.

• Strong background in machine learning, data engineering, or similar, with a solid understanding of how models and data systems work in practice.
• Ability to move seamlessly between big-picture thinking and hands-on execution.
• Experience working with modern AI ecosystems, including LLMs and cloud-based platforms.
• Sharp eye for data quality and understanding of how it impacts the success of AI solutions.
• Practical mindset for turning technical capabilities into real business impact and measurable ROI.
• Experience working in environments where security, privacy, and regulatory requirements matter (fintech is a plus, not a must).
• Confidence engaging with senior stakeholders, challenging ideas, and influencing decisions.
• Ability to communicate complex topics in a clear, structured, and convincing way.
• Proactive, ownership-driven approach and comfort operating in a fast-moving, sometimes ambiguous environment.

• Take ownership of how AI evolves at Inbank, shaping the strategy and turning ideas into production-ready solutions.
• Work closely with the CPTO & Head of Tech Platform to build and evolve Inbank’s AI ecosystem, making key decisions on LLM architecture (internal vs. external), agentic tooling, and cloud infrastructure.
• Evaluate the current landscape of tools and applications to identify what delivers value, where improvements are needed, and where AI and automation can have the greatest impact.
• Design, prototype, and implement AI solutions (PoCs), writing code and configuring services to validate ideas quickly and scale successful ones into production.
• Own AI as an internal product, managing vendor costs, optimizing model usage, and ensuring every initiative delivers measurable business value and ROI.
• Build a secure and scalable AI foundation for a regulated environment, ensuring GDPR compliance, enforcing data loss prevention (DLP), and maintaining strong auditability.
• Enable engineers across the organization by providing the right toolkits, frameworks, MCP servers, and best practices for safe and effective AI adoption.
• Establish clear guidelines and governance for AI usage, working closely with Risk, Oversight, and senior leadership to ensure compliance and alignment with company priorities.
• Contribute to the long-term vision of embedding AI across Inbank, making it a secure, scalable, and impactful part of everyday work.