Skills & Technologies
Requirements
- Experience
- 4+ years
Benefits
Joblaze summary
In this role, the Senior Backend Engineer focuses on developing and maintaining the infrastructure that supports long-running AI agents, ensuring they operate reliably in production environments. Key skills include proficiency in Go or Python, experience with distributed systems, and familiarity with Kubernetes and Terraform. This position is ideal for someone with over four years of backend engineering experience who thrives in a collaborative, small team setting. LangChain is at an exciting growth stage, offering team members the chance to significantly influence the development of cutting-edge AI technologies.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from LangChain's career page.
- LangChain has 101 other open roles including Enterprise Account Executive (Minneapolis), Web Lead, Commercial Sales Director - East.
- 2358 active Python roles on Joblaze right now.
- 1056 active Kubernetes roles on Joblaze right now.
- 712 active Go roles on Joblaze right now.
- Salary band is in line with the typical range for Backend (median ~$166,000).
Quick facts
- What's the salary range?
- LangChain lists $175,000–$225,000 for this role.
- How much experience is required?
- At least 4 years of relevant experience for this Senior Backend Engineer, LangSmith Deployments role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: workflow orchestration, Terraform, State Machines, Go, distributed systems, Python.
- What seniority level is this role?
- LangChain targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Backend Engineer, LangSmith Deployments role at LangChain.
From the original posting
About Us
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. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
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.
About the role
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.
What You'll Do
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
What You'll Bring
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
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.