Staff Software Engineer

Forgepoint•New York, NY

4d•Onsite

About The Position

This is a hands-on senior or staff-level individual-contributor role at the intersection of applied AI, product, and distributed systems. You'll take ambiguous customer problems and complex product initiatives, turn them into focused architectures, and ship simple, reliable systems in production. You'll build AI workers across the stack, from customer-facing experiences to long-running agent workflows and integrations with legacy ERPs and CRMs. You'll lead 0→1 initiatives, improve agent performance and reliability, help set model and agent strategy, and evolve our infrastructure as customer usage and model capabilities grow. Technical leadership at Forgepoint means writing and operating core product code while raising the bar for the team through clear technical writing, thoughtful code review, mentorship, and better developer tooling. Our stack is TypeScript end-to-end with React, Node.js, and PostgreSQL, running on AWS and Kubernetes.

Requirements

7+ years of product engineering experience and a track record of designing, shipping, and operating important systems
Experience across both a high-growth startup and a scaled engineering organization is a plus
Strong systems thinker who can reduce a complex domain to clear boundaries and maintainable software
Product mindset: you learn how customers work, notice patterns, and connect technical decisions to customer value
Care deeply about code quality and reliability, but avoid abstraction or complexity for its own sake
Communicate clearly with technical and non-technical teammates and make others better through writing, code review, mentorship, and candid feedback
Form thoughtful opinions about fast-moving AI technology and choose models, architectures, and context strategies based on evidence
Ambitious, resourceful, action-oriented, and team-first
Care about strengthening American manufacturing
Excited to work in person five days a week in NYC

Nice To Haves

Deep experience with TypeScript, Node.js, React, or PostgreSQL
Experience with AWS, Kubernetes, queues, streaming, caching, retries, consistency, and observability
Experience building a large surface area of third-party integrations, especially with legacy systems
Experience building software for manufacturing or another operationally complex industry

Responsibilities

Lead complex product initiatives from customer discovery and technical design through implementation, rollout, and production operation
Turn broad product requirements into focused architecture documents, clear tradeoffs, and incremental execution plans
Build core AI product experiences and the agent workflows, tools, and integrations behind them
Improve agent performance, reliability, and cost as usage grows and new models arrive
Design and operate distributed systems, including queues, workers, observability, and failure recovery
Help set technical strategy across models, agent architecture, context management, infrastructure, and developer experience
Raise the engineering bar through simple design, testing, code review, and operational follow-through
Mentor engineers and create patterns, documentation, and feedback loops that make the team more effective