Agent / Applied AI Engineer

**Chatbots are yesterday. We're building the AI\-first ERP.** ------------------------------------------------------------- ERP runs how real companies make and ship physical things. It has traditionally been a maze of screens, tabs, and fields that takes months to learn. We think that era is ending. We're building a product surface where the user describes what they want and an **agent** does it — surfacing the right action, the right insight, the right next step. This is not a chat window bolted onto the old UI. It's a composable, AI\-first experience that makes the complexity disappear. We have a clear vision and roadmap, and we give people real room to shape it. **Why Rootstock, why now:** Rootstock brings proven depth in ERP and manufacturing — real products, real customers, decades of hard\-won domain knowledge. We're putting that depth behind a clear blueprint for becoming **AI Native**, with active development underway and the funding to see it through. You'd build alongside a deep bench of senior engineers who have shipped real ERP at scale. Iron sharpens iron. **The role in one line:** You design and build the agents, tools, and AI\-native interactions that turn a complex ERP into something that feels like it's working for the user. **What you'll build** --------------------- * **Agents with real authority over real workflows.** Not Q\&A toys — agents that take action inside genuine business processes like orders, inventory, and financials, safely and correctly. * **Typed, intent\-routed tools over MCP**. Our agents run on MCP servers hosted outside Salesforce, with typed tools and grounded retrieval. ERP is an enormous surface area and you can't stuff it all into a single MCP. You'll solve real problems in scale and performance while building on high\-value customer use cases. * **A composable, AI\-first UI.** We're building a typed component library designed so both humans and models produce correct UI from it. You'll help shape it and assemble surfaces that present actions and insights, not just forms and tables. * **The evaluation harness behind all of it.** Agents are only as good as your ability to measure them. You'll build and own the evals that tell us whether an experience is actually getting better. **What we're looking for** -------------------------- * Hands\-on experience building with LLMs in production: agents, tool\-calling, MCP or equivalent, retrieval and grounding, prompt and context engineering. You've shipped something real and watched it behave in the wild. * Strong engineering fundamentals and genuine product sense. You can feel when an interaction is right. Competence in Java, JavaScript, or a comparable language matters more than React or TypeScript expertise. * A serious point of view on agent design: how to scope a tool, how to keep an agent grounded, how to fail safely, and how to evaluate. * Curiosity about the domain. Deep ERP knowledge isn't required. The ability to turn intimidating compl