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# Backend Engineer, LangSmith Deployments

- **Company:** Langchain Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $175,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Databases, Shard (Database Architecture), Distributed Systems, Fault Tolerance, Python (Programming Language), Open Source Technology, Web Applications, Workflow Management Systems, Cloud Platform System, DevOps Tools - Open-source, Multi-Agent Systems, State Machines, Backend, Core Data, Kubernetes, Terraform
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/fa9c32f8-6073-45f7-9614-4c287efdd48d

## About the Role

* 4+ years of professional backend engineering experience
 * Strong proficiency in Go and/or python
 * Experience with distributed systems - conensus mechanisms, queueing, state machines, and/or workflow orchestration
 * Experience with 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
 * Annual salary range: $175,000-$240,00 USD

## Description

The Deployment team builds the platform that runs AI agents in production. We design and scale the core durable execution runtime to power reliable long-running agents with resumable streaming and inter-agent protocol support. We work closely with open source and other product teams to make it easy to bring any agent from prototype to production., We're building purpose-built infrastructure for running AI agents. Unlike traditional web apps, agents run for long durations, collaborate asynchronously with humans and other agents, and need to survive failures mid-execution. LangSmith Deployments is the runtime that makes this work, with durable checkpointing, fault-tolerant orchestration, and horizontal scaling, deployed across cloud and self-hosted environments., We're looking for a Senior Backend Engineer to work on this system. While the focus is on backend development, strong familiarity with Kubernetes (K8s), Terraform (Tf), and other DevOps tooling is highly preferred.

 * Design distributed queue and worker systems that handle concurrent agent execution, background tasks, and multi-agent coordination across horizontally scalable infrastructure
 * Own core data infrastructure - state persistence, atomic job claiming, connection management, and schema evolution
 * Collaborate on architectural decisions, ensuring solutions are scalable and robust.
 * Ship resumable streaming infrastructure so clients can disconnect and reconnect mid-execution without losing state
 * Instrument and monitor production systems - tracing, metrics, and alerting to keep the platform healthy
 * Participate in on-call rotations and own incident response for the runtime
 * Create and maintain technical documentation, including system design and operational runbooks.
 * Contribute to and extend open-source LangGraph, which is used by thousands of developers to build agent applications


## Related Videos

- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon)
- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)

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