Senior Software Engineer

present of AI; Miami (FL); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Production agent systems

LangGraph or similar frameworks

Eval stack ownership

Python and TypeScript

Kubernetes and MLOps

Job summary

Worth AI is seeking an experienced engineer to design and ship production agent systems that make decisions on regulated financial data. The role requires hands-on work with agent frameworks, retrieval layers, and evaluation stacks, plus owning major features and mentoring teammates.

Fluency in Python and comfort with TypeScript, Kubernetes, and event-driven systems are expected. You will help build reliable, observable agent systems for underwriting and onboarding workflows while ensuring

Qualifications

• Deep hands-on work with agent frameworks, retrieval layers, and evaluation stacks.
• Owning major features and mentoring others.
• Fluency in Python and comfort with TypeScript, Kubernetes, and event driven systems.

Responsibilities

• Design and ship production agent systems that make decisions on regulated financial data.
• Develop retrieval layers and evaluation stacks to ensure accuracy and reliability.
• Mentor teammates and own key features from concept to production.

Skills

Agent frameworks

Retrieval pipelines

Eval harnesses

Leadership

Tools

Python

TypeScript

Kubernetes

Event-driven systems

Job description

The role asks for an experienced engineer to design and ship production agent systems that make decisions on regulated financial data. A strong candidate brings deep hands-on work with agent frameworks, retrieval layers, and evaluation stacks, plus a track record of owning major features and mentoring others. The job also expects fluency in Python and comfort with TypeScript, Kubernetes, and event driven systems.

How it fits the AI era

AI changes the work by shifting from writing simple demos to building reliable, observable agent systems that handle messy financial signals and must fail safely. The human side stays central: judging trade offs, setting evaluation standards, and keeping agents within compliance and security guardrails. This role sits where AI capability meets production discipline, so the engineer must both innovate and enforce rigor.

How it builds AI experience

Someone in this role would gain direct experience building multi step agents, retrieval pipelines, and eval harnesses for real underwriting and onboarding workflows. They would learn to deploy LLM workloads under latency and cost constraints while meeting SOC 2, GDPR, and fair lending requirements. That combination of agent engineering and regulated production MLOps is rare and valuable.

Worth showing

• Production agent systems
• LangGraph or similar frameworks
• Eval stack ownership
• Python and TypeScript
• Kubernetes and MLOps

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Worth AI

Worth provides an AI-powered platform that consolidates onboarding and underwriting workflows for financial institutions, per the company.