AI Automation Engineer

Role overview Build and run AI agents and automations that take on practical business work, from early prototypes through production deployment. You’ll support a range of functions and client projects, connecting language models to business systems and making sure the resulting workflows are useful, reliable, and measurable.

Responsibilities - Design, deploy, and maintain AI automations for real business processes. - Work with operational and business stakeholders to identify suitable tasks and shape them into agent based solutions. - Build secure integrations, including MCP servers or gateways, for tools such as CRMs, ERPs, data platforms, and ticketing systems. - Set up local language models and retrieval augmented generation pipelines where privacy, speed, or offline use matters. - Develop agent orchestration, tool calling, memory, safeguards, logging, and evaluation. - Write production quality Python and establish testing and monitoring for reliability, cost, latency, and output quality.

Requirements - Practical Python experience and the ability to build maintainable tools and integrations. - Familiarity with language models and agent workflows, including prompt design and tool use. - Ability to connect systems through APIs and handle data and authentication carefully. - Interest in making prototypes robust enough for ongoing use, with appropriate testing and monitoring. - Comfort taking ownership of work and collaborating directly with different business teams.

Benefits and work setup Remote within Europe, with quarterly team meetups and occasional client travel. The role offers flexible hours, an annual learning budget, mentorship, equity participation, and the opportunity to shape early engineering practices.