Role OverviewDesign and ship production agent systems that automate KYB, underwriting, and risk decisions on regulated financial data. Own agents end-to-end architecture, retrieval, tools, evals, and production deployment.
What You Will Do
Design multi-step agentic systems, architect agent graphs, build retrieval layers, own eval stacks, expose agents to production systems, drive production MLOps, and partner with security and compliance.
Why It Might Be a Fit
The ideal candidate has 5+ years of software engineering experience, with 2+ years building production LLM or agentic systems, and hands-on experience with a modern agent framework.
Requirements
- 5+ years of software engineering experience
- 2+ years building production LLM or agentic systems
- Hands-on experience with a modern agent framework (LangGraph strongly preferred)
- Strong RAG fundamentals
- Real eval experience
- Production MLOps fluency
- Strong Python; comfortable in TypeScript / Node.js
- Solid systems engineering instincts
- Calibrated communicator
- Prior experience in fintech, lending, payments, KYB/KYC, fraud, or AML
- Experience building MCP servers or other structured tool interfaces for LLMs
- Background in classical ML (ranking, scoring, calibration)
- Experience designing explainable / auditable AI workflows for regulated environments
- Open-source contributions to agent frameworks, eval tooling, or retrieval libraries
- AWS depth (EKS, MSK, RDS, S3, Lambda) and IaC with Terraform
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance
- Flexible Paid Time Off
- 9 paid Holidays
- Family Leave
- Remote work
- Hybrid work (for Orlando Associates)
- Free Food & Snacks (Orlando)
- Wellness Resources
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