Senior AI Engineer (f/m/x)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer (f/m/x) based in United Kingdom. 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. Accountabilities: - Design, build, deploy, and operate reliable backend services, APIs, and integrations supporting internal AI applications and workflows. - Develop secure and supported deployment pathways that allow non-engineering teams to launch internal AI tools with appropriate guardrails. - Build shared AI capabilities, including reusable skills, plugins, MCP connectors, agent workflows, and a central registry covering internal tools, ownership, and costs. - Develop company-wide AI services and standard tooling that help employees adopt AI effectively in their day-to-day work. - Evaluate architecture, AI models, platforms, integrations, and build-versus-buy options using pragmatic technical and product judgment.

- Help define the technical direction, architecture, and scope of the internal AI platform. - Establish risk-based review processes for internally developed AI applications and translate governance requirements into practical technical controls. - Implement security safeguards covering identity, access control, sandboxing, model usage, secrets, and data handling. - Move business-critical AI automations from individual machines and unsupported environments into reliable, maintainable infrastructure. - Establish and continuously improve technical standards, runtimes, deployment practices, and engineering best practices for internal AI development. - Partner with technology leadership and core engineering teams to turn AI strategy into scalable technical solutions. - Drive adoption through demonstrations, documentation, integration support, and collaboration with departmental AI champions. - Help teams overcome technical blockers and turn AI ideas into safe, maintainable, production-ready solutions. - Maintain clear documentation so systems can be operated, maintained, and extended by other team members. - Monitor developments in AI models, tools, coding assistants, and engineering practices, translating relevant advances into practical business opportunities. Requirements: - 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 .