We are seeking an AI Infrastructure Engineer to join our client's team, working on a backend platform within the UK insurtech space.

• Design and take ownership of the platform runtime, including how agents are compiled, configured, and deployed at scale

• Build the configuration layer enabling carriers to control and iterate on product journeys without requiring code changes

• Own the data model underlying the platform's systems and tooling, ensuring the ability to rapidly meet evolving customer requirements

• Define the security model, encompassing PII handling, data residency, and model access controls

• Develop self-improvement loops, including performance tracking and automated evaluation across deployments

• Establish the observability and audit trail infrastructure necessary for a regulated insurer to operate AI at scale with confidence

• Continuously enhance the platform's engineering practices through automated validation, robust CI pipelines, and agentic review processes

• At least 5+ years of demonstrated experience building substantial backend infrastructure

• Well-formed perspectives on distributed systems, API design, and designing for auditability

• Strong proficiency in Python and Go, with exposure to secure DevOps/CI-CD practices and observability/audit-trail implementation

• Prior experience delivering robust systems to a large user base

• Proficiency with LLMs and agent frameworks; prior experience shipping a production agent platform is not required, though a thorough understanding of the associated constraints is expected

• A security-first design orientation, integrated into the design process rather than treated as a compliance checklist

• Upper-Intermediate English proficiency or higher

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Recruitment Process:  

1. HR Interview  

2. Technical&Final Interview  

3. Client Stage

4. Job Offer

• Innovation Culture: Work in a team that actively experiments with AI and modern development approaches  

• Real Product Impact: Direct collaboration with a client and influence on product decisions  

• Flexible Work: Remote work or a modern office in Kyiv  

• Generous Time Off: 20 paid vacation days + 15 sick leave days annually  

• Professional Growth: Compensation for courses, certifications, and learning resources  

• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Сlaude Code, GitHub Copilot, etc.)