AI Product Engineer

Alexander Chapman; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

Alexander Chapman is seeking a Product Engineer for a fast-growing startup building an AI platform that runs business operations autonomously through multi-agent systems. You will own and ship LLM-powered features end-to-end, directly impacting how enterprises operate.

In this builder-first role, you take ownership from problem → design → production → iteration, working closely with users and shipping continuously.

Qualifications

• 2–5 years of experience required
• Strong Python skills
• Familiarity with React/Next.js
• Hands-on experience shipping LLM or agent-based systems in production

Responsibilities

• Own and ship LLM-powered features end-to-end, directly impacting enterprise operations.
• Design and implement multi-agent architectures and determine model selection, orchestration, and evaluation.
• Build chat-native product experiences used daily by customers.
• Collaborate with users and iterate from customer problem to production.

Skills

Python

React/Next.js

LLM/agent-based systems

production shipping

Job description

Connect for more: https://www.linkedin.com/in/arianit-krasniqi-b6ba66388/

I'm working with a fast-growing startup building an AI platform that runs business operations autonomously through multi-agent systems. They are seeking a Product Engineer to own and ship LLM-powered features end-to-end, directly impacting how enterprises operate.

This is a highly builder-first role, where engineers take full ownership from customer problem → design → production → iteration, working closely with users and shipping continuously. The focus is on building agent systems that execute workflows like OKRs, reporting cadences, and operational playbooks, while ensuring enterprise-grade reliability.

Engineers will design and implement multi-agent architectures, make decisions around model selection, orchestration, and evaluation, and build chat-native product experiences used daily by customers. The role combines systems thinking with product intuition, requiring strong judgment on tradeoffs between capability, reliability, and user impact.

Ideal candidates have 2–5 years of experience, strong skills in Python and familiarity with React/Next.js, and hands-on experience shipping LLM or agent-based systems in production. They are fast-moving, customer-focused builders who use AI tools daily, iterate quickly in production, and thrive in high-ownership, early-stage environments.