Member of Technical Staff

Member of Technical Staff

Location: New York, NY Company Stage of Funding: Early Stage / High Growth Office Type: On-site — 5 days/week in Flatiron, New York, NY Salary: $150,000 – $250,000 + Competitive Equity Equity: Competitive Equity Visa: Open to Visa Transfers — OPT and H-1B transfers supported Travel: No significant travel required

Our client is building an AI-native platform designed to transform how finance teams operate through intelligent AI agents and agentic product systems.

The company is an extremely early-stage, rapidly growing startup backed by leading investors and a large network of prominent technology founders and operators. Since launching less than a year ago, the company has grown rapidly and is already deployed across hundreds of high-growth companies, including unicorn startups and Fortune 500 customers.

The platform uses AI agents to automate complex finance workflows, allowing enterprise customers to interact with and manage financial data and processes through intelligent software systems.

The company combines AI agents, LLMs, enterprise data integrations, backend infrastructure, workflow orchestration, and evaluation systems to build production-grade AI products for enterprise customers.

The team is approximately 12 people and operates with a highly flat structure, working directly alongside the founders and founding engineering team.

This is an opportunity to join at a ground-floor stage of the company, where every engineering hire has significant ownership over the product, architecture, and technical direction.

The role combines backend engineering, AI agent development, product engineering, enterprise integrations, and direct customer collaboration in a highly autonomous startup environment.

You'll be responsible for building AI agents that operate in real-world enterprise finance workflows and owning technical problems end-to-end — from understanding the user problem through production deployment.

Build production AI agents and agentic systems using Python, LangChain, and LangGraph

Develop AI-powered products designed for real enterprise finance workflows

Design and implement backend services supporting AI agents and enterprise applications

Design database models and data storage systems using PostgreSQL, DynamoDB, Redis, and related technologies

Build and maintain APIs and backend services end-to-end

Own backend architecture for new product areas and customer-facing functionality

Build AI agent workflows involving tool use, reasoning, orchestration, and external system interaction

Develop evaluation sets and frameworks for measuring AI agent performance

Build tracing, monitoring, and observability systems for production AI agents

Identify and troubleshoot agent performance and reliability issues

Integrate the platform with enterprise data sources including ERPs, banks, billing systems, and other financial systems

Build systems that orchestrate communication between backend services and AI services

Work with Temporal or similar workflow orchestration systems to manage complex asynchronous workflows

Build reliable infrastructure for production AI agent execution

Develop backend functionality using Python and TypeScript/Node.js

Build and maintain APIs using modern backend frameworks and technologies

Work with data validation and schema systems such as Pydantic and Zod

Develop database-backed applications using PostgreSQL and DynamoDB

Build caching, state-management, and high-performance systems using Redis

Work directly with customers and stakeholders to understand complex finance workflows

Engage with designers, go-to-market teams, and customers to identify product opportunities

Translate customer problems into technical solutions and scalable product capabilities

Identify patterns across customer use cases and incorporate them into the core product

Own product areas end-to-end from initial scoping through production deployment

Make architectural and technical decisions with a high degree of autonomy

Ship production software frequently in a fast-moving startup environment

Work directly with founders and the founding engineering team on product and technical priorities

Help shape engineering practices, architecture, and technical foundations as the company scales

Balance rapid experimentation with reliability, maintainability, and production quality

Operate with extremely high ownership in a small, flat organization

Base salary: $150,000 – $250,000

Competitive equity

Open to OPT and H-1B transfers

Opportunity to join at a ground-floor stage of a rapidly growing AI company

High ownership over product and technical architecture

Direct collaboration with founders and the founding engineering team

Opportunity to build production AI agents from the ground up

Exposure to LLMs, agentic systems, enterprise finance workflows, and AI evaluation

Opportunity to work directly with enterprise customers

Significant influence over engineering culture and technical direction

Opportunity to own entire product areas end-to-end

Fast-moving environment with rapid product iteration

Small, flat team with minimal bureaucracy

Opportunity to make meaningful contributions to the company's technical and product trajectory

This is an opportunity to join an extremely early-stage, rapidly growing AI company and help build the next generation of enterprise finance software.

You'll work directly with the founders and founding engineering team to build AI agents that automate complex finance workflows for enterprise customers.

The role sits at the intersection of backend engineering, AI agents, LLMs, enterprise integrations, workflow orchestration, and product engineering.

You'll have significant influence over the product, architecture, and engineering culture while working directly with customers and seeing your work operate in real enterprise workflows.

The company has already achieved significant adoption despite being at a very early stage, creating an opportunity to work on production AI systems serving a growing customer base.

If you enjoy high ownership, fast iteration, AI-native product development, working directly with founders and customers, and building from zero to one, this role offers significant technical scope and the opportunity to have an outsized impact.