Base Salary
$175k - $225k/yr
Responsibilities
- Design distributed queue and worker systems for concurrent agent execution, background tasks, and multi-agent coordination.
- Own state persistence, atomic job claiming, connection management, and schema evolution.
- Collaborate on scalable and robust architectural decisions.
- Build resumable streaming infrastructure that preserves state across client disconnections and reconnections.
- Instrument and monitor production systems through tracing, metrics, and alerting.
- Participate in on-call rotations and own incident response for the runtime.
- Create and maintain system design documentation and operational runbooks.
- Contribute to and extend the open-source LangGraph project.
Requirements
- 4+ years of professional backend engineering experience.
- Strong proficiency in Go and/or Python.
- Experience with distributed systems, including consensus mechanisms, queueing, state machines, and/or workflow orchestration.
- Experience scaling and sharding databases in high-throughput environments.
- Familiarity with Kubernetes, infrastructure-as-code, and at least one major cloud platform.
- Strong communication skills and ability to work cross-functionally on a small team.
Benefits
- Medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan.
- Meals on in-office days in the US.
- Compensation includes variable compensation, equity, benefits, and perks.
- The role supports cloud and self-hosted deployment environments.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. What began as widely adopted open-source tools has grown into a platform for building, evaluating, deploying, and operating agents at scale. LangChain provides the agent engineering platform and open source frameworks developers need to ship reliable agents fast. LangSmith offers observability, evaluation, and deployment for rapid iteration. Our open source frameworks, LangGraph, LangChain, and Deep Agents, help developers build agents with speed and granular control. LangSmith is trusted by leading AI teams at Zip, Vanta, Klarna, Workday, Linkedin, Cloudflare, and more.