AI Infrastructure Engineer

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

Responsibilities:

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

Requirements:

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

We 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.)

Recruitment Process:

HR Interview

Technical&Final Interview

Client Stage

Job Offer