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Langchain Developer Jobs (NOW HIRING)

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 ...

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 ...

Agent Engineer (Langchain)

Denver, CO ยท 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 ...

LangChain is dedicated to making intelligent agents widely accessible, providing a platform for building and deploying AI agents at scale. The Deployed Engineer will work closely with customer ...

LangChain is seeking a Senior Technical Support Engineer to lead customer support for highly technical users. This role involves diagnosing issues, collaborating with various teams to resolve bugs ...

Agent Engineer (Langchain)

Chicago, IL ยท 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 ...

LangChain is a company dedicated to making intelligent agents ubiquitous, providing a platform for building and operating AI agents. The role involves owning developer productivity across LangGraph ...

LangChain is focused on making intelligent agents ubiquitous by providing a platform for building, deploying, and operating AI agents. The role involves owning developer productivity across LangGraph ...

Senior Security Engineer

Manhattan, NY ยท On-site

$126K - $172K/yr

LangChain is a company that aims to make intelligent agents ubiquitous by providing a foundation for agent engineering. The role involves being the hands-on security lead embedded with core product ...

Senior Security Engineer

$117K - $160K/yr

LangChain is a company focused on making intelligent agents ubiquitous, providing tools for developers to build AI agents. The Senior Security Engineer will lead security efforts, ensuring the ...

Deployed Engineer (Charlotte)

Charlotte, NC ยท 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 (Boston)

Boston, MA ยท 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 ...

Deployed Engineer (Raleigh)

Raleigh, NC ยท 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 ...

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Langchain Developer information

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How much do langchain developer jobs pay per hour?

As of Jul 7, 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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Deployed Engineer (Atlanta)

LangChain

Atlanta, GA โ€ข On-site

Full-time

Posted 26 days ago


Job description

Job Summary:
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 with customer engineering teams to co-architect and co-build production AI agents, while also advising on architecture and best practices post-sale.
Responsibilities:
โ€ข Co-architect and co-build production AI agents with customer engineering teams
โ€ข Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
โ€ข Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
โ€ข Advise customers post-sale on architecture, best practices, and roadmap-level decisions
โ€ข Run technical demos, trainings, and workshops for developer audiences
โ€ข Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
โ€ข Occasionally contribute code upstream when it meaningfully improves customer outcomes
Qualifications:
Required:
โ€ข 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
โ€ข Strong Python, JavaScript and systems fundamentals
โ€ข Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
โ€ข Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
โ€ข Can explain technical tradeoffs clearly and build trust with developer audiences
โ€ข Take responsibility for outcomes, not just recommendations
โ€ข Have a bias toward action and enjoy figuring things out as you go
โ€ข Are excited about operating AI agents in production, not just building demos
Preferred:
โ€ข Youโ€™ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
โ€ข Worked with LLM evaluation, observability, or guardrails
โ€ข Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
โ€ข Have shipped and operated production software and are comfortable owning systems under real-world constraints
Company:
LangChain is a platform that provides open-source frameworks and tools for engineering and deploying language model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.