Engineering - Internal AI Transformation

Role overview Build AI-powered automations that improve how internal teams handle work across go-to-market, operations, and finance. You’ll partner with the people closest to each process, turn loosely defined problems into production workflows, and establish reusable patterns for safe, reliable AI use.

Responsibilities - Design and refine AI agents and orchestrated workflows using language models and automation tools. - Connect AI systems to internal business applications through integrations. - Create reusable automation services, templates, and patterns for multiple teams. - Own experiments from identifying an opportunity through implementation and impact measurement. - Build evaluation and monitoring practices so workflows are reliable, auditable, and safe.

Requirements - Experience shipping production automations or applications, from an unclear business need to a dependable solution. - Familiarity with large language models, prompting, retrieval-augmented generation, and agent workflows. - Strong Python, SQL, and system design skills, including APIs, webhooks, and orchestration. - Ability to design for security, auditability, and limited impact when failures occur. - Self-directed approach to finding opportunities, proposing solutions, and delivering them. - Hands-on cloud operations experience, preferably with GCP, plus Kubernetes, Docker, and enterprise authentication.

Benefits and work setup The position is remote globally, with optional offices in London, New York, San Francisco, and Warsaw. Support includes professional development and coworking stipends, an annual team gathering, and a stipend for meeting colleagues.