AI Agent Engineer
About The Position
The AI Agent Engineer is a hands-on builder who turns defined business use cases into working, reliable AI 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 also builds and tests agents, tools, and prompt assets for the advisor platform, then uses usage and quality data to improve them. The position includes writing evaluations and monitoring agent accuracy, reliability, and cost over time. It requires working closely with business users to refine requirements and iterate quickly, as well as documenting and maintaining work so others can use and extend it. Continuous learning is a core part of the role: keeping up with new AI models, frameworks, and techniques, exploring their applications in wealth management, testing promising ideas, and sharing findings with the team and firm.
Requirements
- At least 4 years of experience in software engineering or automation.
- At least the last 2 years focused on building AI agents or LLM-based solutions directly related to this position.
- Projects built that can be demonstrated, 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 consistent habit of staying current, and comfort working in a rapidly 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.
- 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, and techniques, including their applications across wealth management.
- Test promising ideas quickly and share learnings with the team and wider firm.
Benefits
- Medical coverage with HSA and FSA options.
- Dental and vision coverage.
- 401(k) with a generous company match.
- Access to a personal financial planner and unique investment options.
- Four weeks of paid time off.
- 12 paid holidays.
- Two days for giving back.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
