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:

1. HR Interview
2. Technical&Final Interview
3. Client Stage
4. Job Offer