Applied AI Engineer - Operations

We are looking for a senior Applied AI Engineer to join Operations and improve how our business teams work. You will work directly with Support, Finance, Sales Ops, HR, IT, and Legal to turn repetitive tasks and disconnected workflows into reliable AI-powered tools and automations.

We build AI to solve real problems, not to follow hype or impress investors. You will investigate how work gets done, propose improvements, and own technical decisions and delivery. We expect you to take initiative, deliver useful results quickly, and improve solutions through short iterations and feedback.

* Work with teams to understand their workflows, find bottlenecks, and propose improvements. * Agree process changes with the COO and relevant teams before implementation. * Build AI tools and automations that connect business systems and handle tasks such as document processing or ticket triage. * Deliver working versions quickly and improve them through feedback. * Prioritize opportunities by time saved, error reduction, and risk. * Measure whether solutions deliver those benefits, reduce costs, and are actually used. * Run and support what you build: test AI outputs, keep integrations reliable as systems change, and manage failures, latency, and cost. * Protect customer and employee data through limited access, minimal exposure, and redaction before model calls. * Work with IT and Security on safeguards, audit trails, and human review where needed. * Evaluate AI tools and vendors, and recommend when to use an existing solution versus building one. * Document workflows and runbooks, train teams to use the solutions, and help them identify and request further automations.

* 4+ years in operations engineering, business systems, automation, or a similar role, with 1+ years building production LLM or AI-enabled workflows. * Hands-on experience with workflow automation platforms and REST APIs, webhooks, JSON, and OAuth. * Strong working knowledge of prompt design, retrieval-augmented generation, and agent/tool-use patterns. * Proficiency in Python or JavaScript, and comfort with cloud services; AWS preferred. * Experience with at least one major business system, such as NetSuite, Salesforce or ServiceNow. * Ability to translate business needs into technical solutions and explain trade-offs to non-technical leaders. * Sound judgment and practical knowledge of AI security, privacy, and data governance, including least-privilege access, sensitive-data protection, data minimization, and approval controls for sensitive actions.