ERP AI Agent builds custom AI agents that handle exception processes inside established ERP systems, for companies across the USA and Canada. We are looking for people who want to work on implementations that deploy, not on decks that describe what deployment might eventually look like.
Most AI consulting roles right now are weighted toward strategy and presentation. At ERP AI Agent, the weight falls on delivery. Pilots run 6 to 8 weeks from kickoff to a live agent in a client's production environment, and you are accountable for that outcome.
The work spans industries. One engagement is a distributor automating collections follow-up. The next is a manufacturer routing procurement exceptions through an AI agent. What connects them is the same approach: agents work inside existing ERP systems and handle the exceptions that fall between standard transactions.
Before any agent is built, you document the client's exception process with the people who run it: the business rules, the escalation criteria, and the edge cases. You learn the actual work before you automate any part of it. That sequence matters in how good solutions get built.
You have consulting or implementation experience and want that background applied to AI deployments.
You want a role focused on strategy presentations rather than production outcomes.
You can work inside a client's existing systems without requiring a clean-slate architecture.
You need a fully defined process and documented playbook before starting any engagement.
You can explain a technical solution to an operations director without jargon.
You are looking for a pure software product role with a single internal codebase.
You take ownership of a client outcome from first assessment through deployment.
You expect a large company's HR structure, formal mentoring programs, and defined promotion timelines.
You apply new AI tools to real operational problems without waiting to be directed.
You prefer research-oriented AI work over applied client delivery.
ERP AI Agent posts roles when active searches are open. The skill areas below reflect where we hire most frequently. If your background fits one of these areas, send your resume before a role is formally posted.
Client-facing work from first assessment through agent deployment. Requires a consulting background and the ability to qualify and structure an AI engagement.
Builds the agents that go into client production environments. Requires Python proficiency and hands-on experience with LLM frameworks and enterprise API integrations.
Builds the interfaces, integrations, and supporting applications that sit around AI agents in production. Requires experience across front-end and back-end development with strong API integration skills.
Trains client teams to work alongside AI agents, review escalations, and adjust business rules after go-live. Requires facilitation experience and a working knowledge of current AI tools.
Coordinates delivery across multiple active engagements. Requires project management experience in a consulting or implementation environment.
We read every resume we receive. Include a brief note about the kind of work you are looking for and one project you are proud of. We will follow up if there is a match.
