Full-Stack AI Product Engineer — NYC Agent Workflows

Abacus Group, LLC; New York (NY); In loco; USD 100.000 - 300.000; Tempo pieno

Descrizione del lavoro

Our client, one of the fastest-growing AI companies in New York, is seeking a hands-on product engineer to define how people work with AI agents. You will shape product vision, architect front-end apps and APIs, and ship solutions that enable agent-driven workflows.

You will work in dynamic pods with quarterly reformation, collaborating across product engineering, agent platforms, data, and internal AI systems.

Competenze

• 5 to 10 years of software engineering experience.
• Strong full-stack product engineering background with user-facing focus.
• Experience with React, TypeScript, Python and Postgres.
• Most recent experience at a high-growth startup or top quantitative firm.
• Track record of 2+ year tenures at recognized, high-growth companies.
• Degree from a top-tier university.
• Experience building LLM or agent-powered features is a strong plus.

Mansioni

• Shape the product vision and build user-facing experiences for agent-driven workflows.
• Architect front-end applications and APIs that work together cleanly.
• Form strong opinions on the right way to solve customer problems, then ship them.
• Tackle hard questions about trusting nondeterministic agents vs traditional software.
• Manage agent state and data across long runs (hours).
• Define appropriate abstraction levels for tools agents use.
• Trace outcomes back to specific decisions in long agent runs.

Conoscenze

Full-stack product engineering

Frontend emphasis

Product mindset

Startup experience

Veteran developer

Formazione

Bachelor's or higher from a top-tier university

Strumenti

React

TypeScript

Python

PostgreSQL

Descrizione del lavoro

Our client, one of the fastest-growing AI companies in New York, is seeking a hands-on product engineer to define how people work with AI agents. You will shape product vision, architect front-end apps and APIs, and ship solutions that enable agent-driven workflows.

You will work in dynamic pods with quarterly reformation, collaborating across product engineering, agent platforms, data, and internal AI systems.