AI agents are becoming remarkably capable, but in the enterprise they’re still working half-blind. Company knowledge is scattered across systems, buried in documents, locked in legacy infrastructure, and hidden in the day-to-day interactions where work actually happens.
At Noetic, we’re building Mort, the deep company brain: an intelligence layer that gives AI agents the context to understand how an organization operates, connect information across systems, and execute work that spans entire business functions.
This isn’t a “bolt an LLM onto an app” role. You’ll work at the intersection of agents, enterprise context, and production systems, tackling one central question: how do we give AI agents the context, tools, and judgment to operate across a whole enterprise?
What you’ll do
Build and deploy production agents that reason over enterprise context and execute multi-step workflows
Create the tools, skills, and abstractions that let agents interact with Mort
Design evals, test suites, and feedback loops that make agent performance measurable
Own projects end to end, from problem definition through deployment and iteration
Collaborate with our AI research, ontology, data, and platform teams
What we’re looking for
5+ years of software engineering, including 2+ building with LLMs
At least one AI agent or LLM-powered system shipped to production and owned over time
Hands-on understanding of tool use, orchestration, context management, and reliability
An evals-first mindset and fluency with tools like Claude Code or Codex
Comfort navigating ambiguity and deciding what to build (and what not to)
You’ll join a team with deep roots in big data, ontology, cybersecurity, and enterprise infrastructure, building foundational technology rather than thin wrappers.
If you want your work to change what AI systems can actually accomplish, we’d love to meet you.
Help us build the brain.
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