Automation & AI Engineer

Role overview Design, build, and support dependable automation systems for business processes, using AI where it adds value and conventional software where it is a better fit. Projects may include document processing, customer support triage, data pipelines, and operational workflows. The role covers the full delivery cycle, from understanding a client’s process to monitoring the deployed system and handing it over for practical use.

Responsibilities - Identify repetitive or time-consuming business processes and translate them into workable automation designs. - Build integrations across CRMs, commerce platforms, spreadsheets, and internal tools using APIs. - Develop AI-enabled workflows, including model prompts, structured outputs, tool use, and evaluations. - Add human review for uncertain or consequential decisions, with efficient approvals and audit trails. - Implement logging, alerts, error handling, retries, and recovery so failures are visible and manageable. - Document, monitor, and hand over systems so clients can operate them; contribute reusable patterns and safeguards for future projects.

Requirements - Production experience with language model APIs, including OpenAI and Claude, and judgment about when deterministic code is preferable. - Strong integration skills, including handling authentication, rate limits, and retries. - Ability to build reliable workflows with monitoring, failure recovery, and clear audit records. - Comfortable engineering in TypeScript or Python, using workflow platforms when suitable and writing custom services when needed. - Experience designing human review paths for low-confidence decisions. - Able to understand client needs, explain system behavior plainly, and guide delivery from discovery to handoff.

Benefits and work setup - Full-time, remote role for candidates in the United States. - Competitive pay and end-to-end ownership of systems used in production. - Close collaboration with engineers building and operating production services.