Senior AI Systems Engineer - NYC Onsite, Build AI Workers

Rockstar; New York (NY); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Top-tier salary and equity

Great healthcare

Dinner at the office

Unlimited Celsius

Travel across the USA to spend time w/

Job summary

Rockstar is seeking a senior product engineer to own hands-on architecture at the intersection of AI, product, and distributed systems. You will tackle ambiguous customer problems, craft focused architectures, and ship reliable systems in production.

You will build AI workers across the stack—from customer experiences to long-running agent workflows and integrations with legacy ERPs/CRMs. Expect leadership of critical initiatives, improved performance, and evolving infrastructure as models grow.

Qualifications

• 5+ years of product engineering experience with shipped systems.
• Strong systems thinker with ability to define clear boundaries.
• Product-minded with focus on customer value and measurable impact.
• Clear communicator across technical and non-technical teams.

Responsibilities

• Lead complex product initiatives from discovery to production.
• Translate requirements into architecture documents and plans.
• Build core AI product experiences and agent workflows.
• Improve performance, reliability, and cost as usage grows.
• Design and operate distributed systems including queues and observability.
• Define technical strategy across models, context management, infra.
• Raise the engineering bar with simple design, testing, reviews, and documentation.
• Mentor engineers and create patterns, documentation, and feedback loops.

Skills

Product engineering

Systems thinking

Communication

Mentorship

In-person collaboration

Tools

TypeScript

React

Node.js

PostgreSQL

AWS

Kubernetes

Job description

Rockstar is seeking a senior product engineer to own hands-on architecture at the intersection of AI, product, and distributed systems. You will tackle ambiguous customer problems, craft focused architectures, and ship reliable systems in production.

You will build AI workers across the stack—from customer experiences to long-running agent workflows and integrations with legacy ERPs/CRMs. Expect leadership of critical initiatives, improved performance, and evolving infrastructure as models grow.