Member of Technical Staff, Agent Platform

True Talent Solutions Partners; New York (NY); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

True Talent Solutions Partners in New York City, a fintech company, is seeking a software engineer to own the AI stack end to end, building reliable systems that help financial advisors serve clients and collaborate with AI in their day-to-day work.

You will develop and deploy LLM-powered agents, orchestrate tools, retrieval, and prompts, and design memory and evaluation infrastructure for advisor workflows. This on-site role offers visa sponsorship and a competitive base salary.

Qualifications

• Four to ten years of full-stack or backend software engineering experience.
• Production experience with AI agents, LLM orchestration, tool use, retrieval, RAG, and prompt engineering.
• Strong software engineering fundamentals in APIs, data modeling, and system design.
• Experience shipping and maintaining high-quality AI systems, including evaluation infrastructure for non-deterministic outputs.
• Experience with Python, LLMs, agent frameworks, vector databases, TypeScript, and React.
• Background in a high-growth startup or similarly rigorous technical environment, with evidence of career progression.
• Experience with generative UI or human-in-the-loop interfaces is valuable; a computer science degree is also valued.

Responsibilities

• Build a general-purpose agent that handles complex, multi-step tasks using planning, sandboxed code execution, web search, and retrieval.
• Develop ambient agents to triage email, process meetings, draft communications, and surface important client and advisor needs.
• Design and maintain the agent harness that coordinates language models, context, tools, retrieval, and business logic.
• Create generative UI and human-in-the-loop workflows for effective advisor and agent collaboration.
• Build evaluation infrastructure for both precise financial data tasks and judgment-heavy AI outputs.
• Develop memory systems that retrieve and maintain relevant client context over time.

Skills

Full-stack software engineering

Backend engineering

AI agents experience

LLM orchestration

Prompt engineering

APIs

Data modeling

System design

Python

TypeScript

React

Vector databases

Education

Computer science degree

Tools

LLM frameworks

Agent frameworks

Retrieval systems

Sandboxed code execution

Web search tools

Job description

About the Role

Join the applied AI team at a fintech company building an agent platform for financial advisors. You will own the AI stack end to end, developing reliable systems that help advisors serve clients and collaborate with AI in their day-to-day work.

What You’ll Do

• Build a general-purpose agent that handles complex, multi-step tasks using planning, sandboxed code execution, web search, and retrieval.

• Develop ambient agents to triage email, process meetings, draft communications, and surface important client and advisor needs.

• Design and maintain the agent harness that coordinates language models, context, tools, retrieval, and business logic.

• Create generative UI and human-in-the-loop workflows for effective advisor and agent collaboration.

• Build evaluation infrastructure for both precise financial data tasks and judgment-heavy AI outputs.

• Develop memory systems that retrieve and maintain relevant client context over time.

What We’re Looking For

• Four to ten years of full-stack or backend software engineering experience, including building LLM-powered agent systems.

• Production experience with AI agents, LLM orchestration, tool use, retrieval, RAG, and prompt engineering.

• Strong software engineering fundamentals in APIs, data modeling, and system design.

• Experience shipping and maintaining high-quality AI systems, including evaluation infrastructure for non-deterministic outputs.

• Experience with Python, LLMs, agent frameworks, vector databases, TypeScript, and React.

• Background in a high-growth startup or similarly rigorous technical environment, with evidence of career progression.

• Experience with generative UI or human-in-the-loop interfaces is valuable; a computer science degree is also valued.

Compensation & Benefits

Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.

Location

On-site in New York City, New York, United States.