5+ years of experience in AI development and engineering
Proficiency in Azure AI platform and related technologies
Strong background in building AI applications, particularly LLMs and document processing
Experience with API integration and workflow automation
Familiarity with automated testing and defect resolution processes
Responsibilities
Build AI-powered applications for various workflows
Connect AI solutions to existing systems via APIs
Develop workflow logic and integrate necessary tools
Write and execute automated tests to ensure quality
Pilot workflows into production and enhance them post-launch
Collaborate with AI partners and lead projects within the team
Benefits
Opportunity to work with cutting-edge AI technologies
Collaborative environment with a focus on innovation
Professional growth through leadership opportunities
Access to a shared AI platform for streamlined development
Engagement with industry partners for enhanced learning
Full Job Description
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.
