Senior AI Engineer (f/m/x)

This is a senior backend engineering role focused on building the internal AI infrastructure that enables an organisation to become truly AI-native.
You’ll take AI-powered tools from early prototypes through secure, reliable, and scalable production deployment.
The role combines backend engineering, AI/LLM applications, platform development, security, and internal product enablement.
You’ll work closely with senior technology leadership and engineering teams to assess opportunities, shape priorities, and deliver high-impact solutions.
A major part of the role involves creating reusable AI capabilities, governance frameworks, deployment pathways, and tools that can be adopted across the organisation.
You’ll have substantial autonomy and ownership in a remote-first, high-performance environment where decisions are driven by impact, experimentation, and strong technical judgment.
The position is open to candidates across Europe, including the UK, who have the right to work.

• 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.