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Langchain Developer Jobs (NOW HIRING)

LangChain, Inc

Deployed Engineer (NYC)

New York, NY · 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 ...

LangChain, Inc

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 ...

LangChain, Inc

Education Marketing Lead

New York, NY · On-site

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

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 ...

LangChain, Inc

Sales Engineer (Bay Area)

San Francisco, CA · On-site

$185K - $315K/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

Deployed Engineer (Las Vegas)

Las Vegas, NV · 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 ...

LangChain, Inc

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 ...

LangChain, Inc

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 ...

LangChain, Inc

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.

LangChain, Inc

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.

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How much do langchain developer jobs pay per hour?

As of Jul 6, 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.

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Langchain Developer jobs near you

Deployed Engineer (NYC)

LangChain, Inc

New York, NY • On-site

$165K - $380K/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 Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
About the Role
The Deployed Engineer...You'll work on some of the hardest problems in applied AI - not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
What You'll Do
  • Co-architect and co-build production AI agents with customer engineering teams
  • Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
  • Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
  • Advise customers post-sale on architecture, best practices, and roadmap-level decisions
  • Run technical demos, trainings, and workshops for developer audiences
  • Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers

What You'll Bring
  • 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
  • Strong Python, JavaScript and systems fundamentals
  • Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
  • Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
  • Can explain technical tradeoffs clearly and build trust with developer audiences
  • Take responsibility for outcomes, not just recommendations
  • Have a bias toward action and enjoy figuring things out as you go
  • Are excited about operating AI agents in production, not just building demos

Nice to Have's:
  • You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
  • Worked with LLM evaluation, observability, or guardrails
  • Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
  • Have shipped and operated production software and are comfortable owning systems under real-world constraints

Compensation
Annual OTE range: $165,000-$380,000 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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