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Langchain Developer Jobs (NOW HIRING)

LangChain, Inc

Developer Productivity

San Francisco, CA · On-site

$175K - $240K/yr

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 ...

LangChain, Inc

Senior Education Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Represent LangChain at workshops, meetups, and conferences. Design and deliver live technical education at developer events - from intimate hackathons to large conference stages. Be the person who ...

LangChain

GTM Engineer

San Francisco, CA · On-site

... Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph. • ...

Focused

Agent Engineer (Langchain)

Chicago, IL · On-site

$120K - $175K/yr

We are excited about you, because you: * You're a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments. * You've worked with LangChain ...

Focused

Lead Agent Engineer (Langchain)

Denver, CO

$175K - $250K/yr

You've worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively. * You have experience leading engineering teams and feel ...

LangChain

GTM Engineer

San Francisco, CA · On-site

LangChain is seeking a GTM Engineer to take ownership of the technical roadmap supporting its users. The role focuses on building AI-native systems to enhance technical support and customer ...

LangChain

Director, Deployed Engineering - Central

LangChain is focused on making intelligent agents ubiquitous, helping developers transition from prototypes to production-ready AI agents. The Director of Deployed Engineering will build and lead a ...

New

Focused

Lead Agent Engineer (Langchain)

Dallas, TX · On-site

$175K - $250K/yr

Directly engage with clients and provide expertise through pair programming and development on LangChain / LangGraph powered applications * Deep expertise in LangChain, LangGraph and LangSmith * Lead ...

LangChain

Customer Engineer (West Coast)

Seattle, WA · On-site

LangChain is focused on making intelligent agents ubiquitous by providing a platform for building and deploying AI agents. The Customer Engineer will serve as a technical advisor to new customers ...

LangChain

Deployed Engineer (NYC)

Manhattan, NY · On-site

LangChain is a company focused on making intelligent agents ubiquitous by providing a platform for building and operating AI agents at scale. The Deployed Engineer role involves co-architecting and ...

LangChain, Inc

Python OSS Engineer

San Francisco, CA · On-site

$160K - $240K/yr

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 ...

LangChain

Deployed Engineer (Atlanta)

Atlanta, GA · On-site

LangChain is a company focused on making intelligent agents ubiquitous, building tools for agent engineering in the real world. The Deployed Engineer will work on applied AI systems, collaborating ...

LangChain

Deployed Engineer (Raleigh)

Raleigh, NC · On-site

LangChain is a company focused on making intelligent agents ubiquitous, helping developers transition from prototypes to production-ready AI agents. The Deployed Engineer will work closely with ...

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Langchain Developer information

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How much do langchain developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for langchain developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is a Langchain Developer job?

A Langchain Developer specializes in building applications using LangChain, a framework for developing AI-driven applications that leverage large language models (LLMs). Their role involves integrating LLMs with data sources, optimizing prompt engineering, and designing workflows for chatbots, automation, and knowledge retrieval. They often work with Python, APIs, and vector databases to enhance AI capabilities. The job requires expertise in natural language processing (NLP), machine learning, and cloud services.

What are some typical challenges faced by Langchain Developers and how do teams address them?

Langchain Developers often encounter challenges such as integrating new language models, ensuring data privacy, and maintaining prompt accuracy in dynamic real-world scenarios. Teams commonly address these difficulties by collaborating closely with data scientists, regularly updating their knowledge of evolving AI frameworks, and implementing robust testing protocols to ensure quality results. Continuous learning and knowledge-sharing within the team are encouraged so developers can quickly adapt to changes in technology or requirements. Additionally, cross-functional meetings and code reviews are held to align development with organizational goals and best practices. These efforts help ensure that projects remain innovative and effective while minimizing potential roadblocks.

What are the key skills and qualifications needed to thrive in the Langchain Developer position, and why are they important?

To thrive as a Langchain Developer, you need strong programming skills in Python, experience with large language models (LLMs), and a solid understanding of conversational AI workflow. Familiarity with tools and platforms such as LangChain, vector databases (e.g., Pinecone, FAISS), cloud services, and API integrations is commonly required. Excellent problem-solving, communication, and collaboration skills help you adapt to fast-paced AI projects and work effectively with cross-functional teams. These competencies are essential for designing, implementing, and optimizing advanced AI-powered applications that deliver real business value.

More about Langchain Developer jobs
What cities are hiring for Langchain Developer jobs? Cities with the most Langchain Developer job openings:
What are the most commonly searched types of Langchain Developer jobs? The most popular types of Langchain Developer jobs are:
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Langchain Developer jobs near you
Infographic showing various Langchain Developer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Developer Productivity

LangChain, Inc

San Francisco, CA • On-site

$175K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

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.
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 Infrastructure team builds and maintains the systems that power LangChain's developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence.
About the Role
We're hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You'll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You'll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites.
Location: In person 5 days/week in San Francisco, CA or New York, NY
What You'll Do
  • Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm)
  • Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites
  • Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates
  • Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards
  • Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection
  • Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems
  • Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests

Example projects you might own
  • A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants
  • A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release
  • A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake

What You'll Bring
  • 3+ years of experience as a software engineer or infrastructure engineer
  • Strong hands-on experience with Python and testing frameworks such as pytest
  • Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability
  • Solid understanding of API testing, mocking/stubbing, and data setup/teardown
  • Comfort defining quality standards, writing test plans, and driving cross-team execution

Nice to Have
  • Experience with load and performance testing tools such as k6
  • Familiarity with observability tooling such as Datadog or OpenTelemetry
  • Experience testing services running on Kubernetes and containerized environments
  • Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management
  • SQL fluency for validating data (Postgres, ClickHouse, BigQuery)
  • Familiarity with Go, Node, or React for targeted white-box tests and improving system testability

Compensation
  • Annual salary range: $175,000- $240,000 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.

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