HockeyStack
AI Engineer
San Francisco
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$13,149 more — $193,149 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,149 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- On top of that foundation, we built Nex-lm, a purpose-built AI engine that compiles natural language into deterministic agent workflows.
- We operate fully in-person in San Francisco.
- We move fast and we hire people who want to win.
Responsibilities
- Own and continuously improve the backend systems that power all agentic AI features across the platform
- Design, write, and maintain agents responsible for different tasks across a GTM team's workflows, leveraging the latest agent frameworks
- Develop and maintain backend services in Node.js that power these agents
- Build state-of-the-art context management pipelines and manage thousands of stateful agents.
- Hands-on experience building and deploying LLM-powered applications or agentic AI systems in production
Requirements
- Strong backend engineering experience with Node.js and modern JavaScript/TypeScript
- Experience designing and orchestrating multi-agent systems, including managing agent state, memory, and context across complex workflows
- Familiarity with modern AI frameworks and providers (Braintrust, Cerebras, Langchain or similar)
- A track record of shipping in fast-moving, production environments
- The product is proven, the market is massive, and the opportunity is wide open.
Compensation
- As part of our San Francisco, California-based team, the salary range for this role is $180,000- $220,000 USD base pay annually, depending on experience and qualifications.
Company info
- As part of our San Francisco, California-based team, the salary range for this role is $180,000- $220,000 USD base pay annually, depending on experience and qualifications.
This listing is sourced directly from HockeyStack's careers page and normalized into a canonical job model.