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Noetic Global Corp.

Senior Software Engineer, Applied AI

Posted Yesterday
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In-Office
Dallas, TX
Senior level
In-Office
Dallas, TX
Senior level
Build and deploy production AI agents that reason over enterprise context and execute multi-step workflows. Develop agent tools, skills, and abstractions; create evaluation suites and feedback loops; and own projects from definition through deployment and iteration. Collaborate with AI research, ontology, data, and platform teams to improve agent reliability and enterprise-wide capabilities.
The summary above was generated by AI

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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