AI Product Engineer — End-to-End LLM Systems

Agencywithin; New York (NY); Hybrid; USD 91,000 - 254,000; Full time

Benefits offered by this job

Unlimited vacation policy

Monthly phone stipend

Comprehensive medical, dental, vision

401(k) plan with matching

Dog friendly office

Hybrid work opportunity

Professional Development Program

Seamless allowance bonus

Job summary

WITHIN is a Performance Branding company that embeds AI across teams to drive growth for iconic brands. This role leads AI-powered products from concept to production, balancing fast shipment with rigorous evaluation and reliability.

You’ll design, build, test, and iterate across frontend, backend, and data, partnering with business teams to scope and deliver measurable outcomes. The role emphasizes end-to-end ownership, strong Python production skills, and experience with LLM APIs and

Qualifications

• Own products end to end from problem to operation.
• Decide what to test first and define success.
• AI tools used to scope, build, test, and maintain software.
• Choose between model behavior, deterministic software, and human review.
• Explain tradeoffs and communicate with business teams.

Responsibilities

• Find product-market fit with a small version and test with users.
• Improve what works by testing changes and investing in best versions.
• Expand adoption across WITHIN and with clients; ensure reliability under growth.
• Maintain systems by monitoring performance and resolving issues.

Skills

Python

Production systems

LLM APIs

Agent workflows

Context management

SQL

Tools

OpenAI API

Anthropic

Vertex AI

GCP

AWS

Azure

TypeScript/React

Job description

WITHIN is a Performance Branding company that embeds AI across teams to drive growth for iconic brands. This role leads AI-powered products from concept to production, balancing fast shipment with rigorous evaluation and reliability.

You’ll design, build, test, and iterate across frontend, backend, and data, partnering with business teams to scope and deliver measurable outcomes. The role emphasizes end-to-end ownership, strong Python production skills, and experience with LLM APIs and