Senior Backend Engineer, LangSmith Deployments

LangChain; Boston (MA); On-site; USD 175,000 - 225,000; Full time

Benefits offered by this job

Health and dental coverage

Flexible vacation

401(k) plan

Life insurance

Job summary

A leading AI development firm in Boston is seeking a Backend Engineer to design infrastructure for AI agents. This role involves developing systems for concurrent execution, owning data infrastructure, and collaborating on scalable solutions. Candidates should have strong proficiency in Go and/or Python, coupled with experience in distributed systems. The position offers a competitive salary ranging from $175,000 to $225,000, along with benefits like health coverage and a 401(k) plan.

Qualifications

• 4+ years of professional backend engineering experience.
• Experience with consensus mechanisms, queueing, state machines, and workflow orchestration.
• Ability to work cross-functionally on a small team.

Responsibilities

• Design distributed queue and worker systems for concurrent agent execution.
• Own core data infrastructure and state persistence.
• Collaborate on scalable architectural decisions.
• Ship resumable streaming infrastructure.
• Instrument and monitor production systems.
• Participate in on-call rotations for runtime.
• Create and maintain technical documentation.
• Contribute to and extend open-source LangGraph.

Skills

Go and/or Python proficiency

Distributed systems experience

Database scaling and sharding

Kubernetes familiarity

Strong communication skills

Job description

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. Today, LangChain, LangGraph, LangSmith, and Fleet are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125 M 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.

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

• 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 ─ consensus 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

Compensation & Benefits

• We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
• Annual salary range: $175,000‑$225,000 USD