AI Automation Specialist

About this opportunity

DOI wants practical automation that improves internal operations and client outcomes. This role combines process discovery, API integration, workflow engineering and responsible AI deployment, with measurable business impact and reliable human oversight.

Hours and arrangement

Working hours, time-zone overlap and engagement terms will be confirmed during screening.

What you will do

• Interview stakeholders, map workflows, identify bottlenecks and prioritize automations by impact, feasibility, risk and maintainability.
• Implement multi-step automations using n8n, Make, Zapier or code, integrating APIs, OAuth, webhooks, databases, email and approved collaboration systems.
• Build AI-enabled intake, document-processing, classification, research, reporting and talent workflows while preserving human approval for consequential decisions.
• Integrate Tally, Notion, GitHub, Supabase, Microsoft 365 and AI APIs where appropriate; understand schemas, permissions and data flow.
• Use structured prompts, validation, tool calling or retrieval when useful; evaluate accuracy, cost, latency and failure cases.
• Build retries, idempotency, queueing, logging, monitoring, alerts, rate-limit handling, exception routing and recovery procedures.
• Protect business and applicant data through least privilege, secret storage, audit logs, access controls and documented retention practices.
• Create diagrams, documentation, tests and handover guides; train colleagues and measure time saved, quality and error reduction.
• Maintain deployed workflows as business processes, external APIs and products change.

Experience and requirements

• Demonstrated delivery of operational automations used by real teams, beyond simple one-step triggers.
• Solid APIs, HTTP, JSON, webhooks, authentication, data mapping, error-handling and debugging skills.
• Hands-on expertise with an automation platform and competence using scripts or code when no-code tools are insufficient.
• Practical LLM API and evaluation experience; ability to distinguish deterministic logic from probabilistic model output.
• Ability to translate ambiguous business needs into secure, testable workflows with appropriate human controls.
• Strong documentation, communication, troubleshooting and ownership after launch.

Additional advantages

• SQL/Supabase, GitHub, Vercel, Python or TypeScript experience.
• Experience with recruitment, professional services, CRM, scheduling or document-heavy workflows.
• AI evaluation, observability, cost control and privacy-conscious automation experience.

What to include

Share an end-to-end workflow diagram or demonstration, explain integrations and failure safeguards, and describe the business result. State your own contribution and tool proficiency, including years/months used.