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Langchain Developer Jobs (NOW HIRING)

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 ...

Deployed Engineer (Denver)

Denver, CO · On-site

$155K - $360K/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 ...

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 ...

Deployed Engineer (Atlanta)

Atlanta, GA · On-site

$150K - $250K/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 ...

Deployed Engineer (Phoenix)

Phoenix, AZ · On-site

$155K - $360K/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 ...

Deployed Engineer (Seattle)

Seattle, WA · On-site

$165K - $380K/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 ...

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 ...

GTM Engineer

New York, NY · On-site

$160K - $180K/yr

AI-Native 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.

GTM Engineer

San Francisco, CA · On-site

$160K - $180K/yr

AI-Native 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.

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 ...

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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:
What states have the most Langchain Developer jobs? States with the most job openings for Langchain Developer jobs include:
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.

Fullstack Software Engineer, Applied AI

LangChain, Inc

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 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 Applied AI team builds the agents that show the world what's possible with LangChain. We ship open source reference agents like Open SWE, Open Canvas, and our Deep Research agent that developers across the community use as starting points for their own production systems, while also building internal agents that power LangChain's own GTM and engineering workflows. It's a small, fast-moving team that operates at the frontier, iterating rapidly, running rigorous evals on our own work, and feeding hard-won learnings back into the platform. If you want to work on the frontier of agent-building, this may be the team for you.
About The Role
We're hiring fullstack Applied AI Engineers to help us build AI agents that power every part of LangChain from Marketing and GTM to Recruiting, Support, Internal Tools, and our Core Product.
In this role you will own a problem space and work closely with that function to design, build, and deploy production-grade agents, workflows, and applications that transform how we operate. Your work will directly accelerate LangChain's mission to make intelligent, autonomous software a reality both internally and for our customers. Some of these projects will be open source, contributing to the LangChain and LangGraph ecosystem and setting new standards for how companies build with AI.
*This role will be based in our San Francisco or New York office. Employees within commuting distance work from the office are five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.
What You Will Do
  • Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains.
  • Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes.
  • Translate emerging AI research and tooling into practical, production-ready solutions.
  • Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders.
  • Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact.
  • Contribute to the LangChain and LangGraph ecosystem, including open source components, documentation, and shared tools.

What You Will Bring
  • Experienced software engineer with a strong track record shipping AI or ML-powered applications (typically 3+ years, including at least 1 year building LLM systems in production).
  • Hands-on experience implementing evaluation and monitoring systems for agents or workflows.
  • Deep understanding of the components that make up an AI system: prompting, retrieval, orchestration, inference APIs, and model selection across modalities.
  • Strong coding skills in Python or TypeScript (ideally both).
  • Excellent communicator who can simplify complex technical ideas for diverse audiences.
  • Thrives in a fast-moving, ambiguous startup environment; enjoys identifying the highest-impact problems and driving them to completion.
  • Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI.
Nice To Haves
  • Expertise with LangChain or LangGraph.
  • Experience building or maintaining open source projects.
  • Background in applied AI research or agentic workflow development.
  • Based in San Francisco (preferred), NYC, or Boston.

Compensation
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 Annual Salary Range: $165,000 - $190,000
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.