HockeyStack

AI Engineer

HockeyStack
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7 months ago
San Francisco, CA, USAMid Level
H1B sponsor

Base Salary

$180k - $220k/yr

Responsibilities

  • Own and continuously improve backend systems powering agentic AI features across the platform.
  • Design, write, and maintain agents for sales and marketing workflows using modern agent frameworks.
  • Develop and maintain Node.js backend services that power the agents.
  • Build context-management pipelines and manage thousands of stateful agents.
  • Deploy frequently to production while maintaining high-quality standards.
  • Design systems that orchestrate complex workflows, learn from outcomes, and improve over time.

Requirements

  • Hands-on experience building and deploying LLM-powered applications or agentic AI systems in production.
  • Strong backend engineering experience with Node.js and modern JavaScript or TypeScript.
  • Experience designing and orchestrating multi-agent systems, including agent state, memory, and context management across complex workflows.
  • Familiarity with modern AI frameworks and providers such as Braintrust, Cerebras, and LangChain or similar tools.
  • Understanding of multi-model architectures and routing tasks across different LLMs for cost, speed, and quality tradeoffs.
  • A track record of shipping in fast-moving production environments.
  • Ability and willingness to work in person five days per week at the San Francisco headquarters.
  • Ownership-oriented, self-aware, feedback-driven, and comfortable working in an early-stage, high-urgency environment.

Benefits

  • Fully in-person at the San Francisco headquarters five days per week.
  • The role is based in San Francisco, California.
  • Equal opportunity employer committed to fostering an inclusive environment.
HockeyStack

About HockeyStack

51-200 employees

HockeyStack builds a SaaS platform that unifies revenue data to deliver marketing attribution, account-level insights, and buyer-journey analytics for B2B go-to-market teams. The company also offers AI-driven agents (Nex-lm) that translate natural language into deterministic workflows to automate processes across sales, marketing, and customer success. Founded in 2021 and headquartered in San Francisco, it sells to enterprises seeking to measure and orchestrate pipeline performance across the full revenue stack.

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