AI Automation Product Engineer

Role Overview

• Building, shipping, and supporting AI-powered tools and automations for 923 AI Automation clients.
• Work with tools like Claude Code, the Anthropic API, and AI-augmented low-code platforms to deliver real systems to real clients, end-to-end.
• Frame complex, ambiguous problems and work through them to clear solutions.
• Ideate, build, and see things ship — then explain clearly how and why they work.
• Engage directly with clients rather than being deep in code with minimal contact.
• Shape the way the department works as it scales — contribute to project templates, runbooks, and reusable components.

Requirements

• Strategy & Growth
• Pattern Contribution — Surfacing new approaches, tools, and workflows discovered during client delivery, and contributing them to the department's knowledge base and operating models. Ideas are validated on real client work before they become standard.
• Continuous R&D — Spending dedicated, reported hours testing new AI tools, models, and frameworks relevant to active or upcoming client work. Findings are shared with the Practice Lead and the wider department.
• Practice Building — Helping shape the way the department works as it scales — contributing to project templates, runbooks, evaluation approaches, and reusable components seeded from real delivered work.
• Solutions Engineering & Client Delivery
• Technical Feasibility — Evaluating client data, systems, and APIs to determine what's genuinely achievable within a proposed time budget. Flagging risks, rabbit holes, and integration blockers early, before commitments are made to the client.
• Demo Build-Out — Building working demos for prospective clients that demonstrate the proposed solution against their real problem, ready to be presented on proposal calls.
• Client Onboarding & Education — Helping client teams understand and confidently use the systems we deliver. This includes walkthroughs, training sessions where relevant, and clear handover documentation.
• Technical Execution — You'll own the technical delivery of client projects end-to-end, inside the department's established approach.
• Validation Before Production — Testing AI outputs against real client data before go-live. Building the dry-run and validation patterns that let clients sign off on output quality before we enable production writes.
• Project Tracking — Working from the department's Monday.com board, following established task, branch, and PR conventions. Tickets are written by the Practice Lead during onboarding; over time, you'll draft your own and the Practice Lead will review.
• Client Communication — Joining and running technical portions of weekly client meetings. Initially alongside the Practice Lead and Account Manager; over time, running technical calls solo where the direction is clear. The Account Manager owns the relationship; you own technical clarity.
• Quality Assurance — Testing AI outputs for failure modes, hallucinations, and edge-case behaviour before anything reaches a client. Implementing the validation patterns the department uses to build client trust.
• Handover & Documentation — Completing the delivery checklist before any project closes — documented architecture, credentials handover, runbook, walkthrough video, and third-party account transfer to client billing.

Benefits

• 100% remote job
• Annual paid vacation: 20 working days per year during the first 3 years, further increasing to 25 days in later years
• Paid sick leave and holidays
• Reimbursement of expenses for professional development courses/certifications (up to 100% in agreement with the Manager)
• Well-being budget
• Team and atmosphere: we hire people we trust, so you'll be the part of a strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor