AI Infrastructure Engineer

Що робити

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

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

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

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