AI Engineer
Builds and maintains backend systems powering agentic AI features for enterprise revenue workflows using Node.js and modern AI frameworks. Designs multi-agent systems that orchestrate complex GTM tasks with LLMs, focusing on state management and production deployment.
About the job
What You’ll Do
- 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
- Ship fast and often — deploying to production frequently while maintaining high-quality standards
What We’re Looking For
- Ownership-first mindset — you take initiative, move fast, and figure things out
- Thrive in early-stage, high-urgency environments where speed and impact matter
- Fully committed to working in-person 5 days/week at our SF HQ
- Curious, self-aware, and feedback-driven — you bring energy, not ego
- See this role as a defining chapter — not a stepping stone or side quest
What you bring:
- 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/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)
- Understanding of multi-model architectures — knowing when and how to route tasks across different LLMs for cost, speed, and quality tradeoffs
- A track record of shipping in fast-moving, production environments
Compensation
Salary range: $180,000-$220,000 USD base pay annually, depending on experience and qualifications.
Skills
Node.js, TypeScript, JavaScript, LangChain, LLMs, Braintrust, Cerebras, Agentic AI, Multi-Agent Systems, Context Management
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