AI Agent Engineer

Diversify • South Jordan, UT

11h

About The Position

The AI Agent Engineer is a hands-on builder who turns well-defined business use cases into working, reliable agents. The role partners with the AI Ecosystem and Integration Specialist, product owners, and business users to build, test, and improve agents that use tools, retrieve information, and complete multi-step workflows.

The engineer supports the advisor platform by building and testing agents, tools, and prompt assets, then using usage and quality data to improve them. The role also involves evaluating and monitoring agent accuracy, reliability, and cost, refining requirements with business users, and documenting work so others can use and extend it.

Continuous learning and awareness of developments in AI and wealth management are core parts of the position. The engineer is expected to test promising ideas, apply new capabilities to improve solutions for the firm, advisors, and clients, and share learnings with the team and wider firm.

Requirements

• At least 4 years of experience in software engineering or automation, including at least the last 2 years focused on building AI agents or LLM-based solutions directly related to this position.
• Projects the candidate has built and can demonstrate, including side projects.
• Strong Python and JavaScript/TypeScript skills.
• Hands-on experience with LLM APIs and agent frameworks.
• Familiarity with cloud deployment and basic security practices.
• Comfort with ambiguity and a bias toward shipping.
• Intellectual curiosity, a clear habit of staying current, and comfort with a fast-changing field.
• A solution-focused and user-centric approach.

Nice To Haves

• Experience with RAG, workflow platforms, and prompt and evaluation practices.
• Curiosity about the wealth management industry.
• Experience in a highly regulated industry.
• Experience with AWS Bedrock and supporting tools.

Responsibilities

• Build, test, and deploy agents with tool use, retrieval, and multi-step workflows.
• Build and test agents, tools, and prompt assets for the advisor platform, and use usage and quality data to improve them.
• Write evaluations and monitor agent accuracy, reliability, and cost over time.
• Work closely with business users to refine requirements and iterate quickly.
• Document and maintain solutions so others can use and extend them.
• Keep up with new models, frameworks, techniques, and applications of AI in wealth management.
• Test promising ideas quickly and share learnings with the team and the wider firm.

Benefits

• Medical coverage with HSA and FSA options.
• Dental insurance.
• Vision insurance.
• 401(k) with a generous company match.
• Access to a personal financial planner and unique investment options.
• Four weeks of paid time off.
• Twelve paid holidays.
• Two days for giving back.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed