AI Engineer, AI Development

Ultimus Fund Solutions

Omaha, NEOn-siteOther
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Pay
$100K to $250K
a year
Location
Omaha, NE
Work style
On-site
Job type
Other
Posted
Nov 7
1 day ago
Career path

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About the company

Ultimus Fund Solutions

Financial services · 501 to 1,000 employees

Ultimus Fund Solutions on LinkedIn

What you'll do

  • Build AI-powered applications, from LLM assistants and document extraction to AI agents
  • Connect AI solutions to systems and data through APIs, MCP servers and the shared AI platform
  • Build workflow logic, tool integrations, guardrails and human review steps
  • Write automated tests and evaluations, and fix defects through testing with users
  • Take workflows through pilot and into production, then keep improving them
  • Work alongside AI partners in 2027 and then lead builds as part of an Ultimus pod

Key skills

AI solutionsgenerative AIAI agentsAPIsMCP serversAzure AI platformautomated testsevaluationsworkflow logictool integrationsguardrails

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See full description on company page, apply now

Read the full posting here
About the team Ultimus is investing in AI to transform how fund administration work gets done, from generative AI assistants, intelligent document processing and machine learning to a growing set of agentic AI workflows. Our AI Development teams are small, cross-functional groups of AI engineers, data scientists, data engineers and AI analysts who partner closely with our operations experts to redesign key workflows and build the AI solutions that support them, with AI agents an increasingly important part of that work. They are backed by a dedicated AI Infrastructure team and a shared enterprise AI platform. About the role As AI Engineer in an AI Development pod you build the AI solutions that run our redesigned workflows, from first prototype to production, on our shared Azure AI platform. That work ranges from generative AI applications and document processing to AI agents and multi-agent workflows. What you'll do Build AI-powered applications, from LLM assistants and document extraction to AI agents and multi-agent workflows that read documents, pull data, perform checks and prepare work for human review. Connect AI solutions to our systems and data through APIs, MCP servers and the shared AI platform. Build the workflow logic, tool integrations, guardrails and human review steps for each workflow. Write automated tests and evaluations, and fix defects every sprint through testing with users. Take workflows through pilot and into production, then keep improving them as they scale across funds and clients. Work alongside our AI partners in 2027 and then lead builds as part of an Ultimus pod.

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