Significant senior-level experience building and operating production backend systems using Go, Python, or a similar programming language.
Demonstrated experience owning services end to end, including architecture, deployment, secrets management, monitoring, reliability, and ongoing operations.
Hands-on experience building AI- or LLM-powered applications for production use, with an understanding of model integration, evaluation, observability, and production failure handling.
Familiarity with modern AI development tools and ecosystems, including AI coding assistants such as Claude Code, Codex, or Cursor.
Understanding of emerging AI engineering concepts such as reusable skills, plugins, MCP integrations, agent workflows, and agent orchestration.
Strong ability to evaluate technical options pragmatically and make sound decisions around architecture, model selection, integrations, and build-versus-buy.
Excellent technical and product judgment, including the ability to simplify initiatives, challenge assumptions, or recommend against building when appropriate.
Strong communication and collaboration skills, with the ability to work effectively with non-technical stakeholders and treat internal users as customers.
A security-conscious engineering mindset, with an understanding of identity, access control, secrets, data exposure, and secure system design.
Strong ownership, autonomy, curiosity, and willingness to experiment, learn from failure, and continuously improve.
Google Cloud Platform experience is a plus.
Strong Go experience, or strong Python experience combined with an interest in working with Go, is advantageous.
Experience with product discovery, corporate IT, identity and access management, or application security is a plus.
Experience supporting an organisation through an AI transformation is advantageous.
Candidates must be based in Europe, including the UK, and have a valid right to work.
Linked-in
Google