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Langchain Remote Jobs (NOW HIRING)

Nagarro

Staff Engineer - AI Engineer

Remote, USA Duration: 6 Months Contract with possible extension Job Overview: * AI Engineer with 6 ... LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and ...

Nagarro

Staff Engineer - AI Engineer

Remote, USA Duration: 6 Months Contract with possible extension Job Overview: * AI Engineer with 6 ... LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and ...

Nagarro

Staff Engineer - AI Engineer

Remote, USA Duration: Fulltime Employee Job Overview: * AI Engineer with 6-9 years of experience ... LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and ...

Nagarro

Staff Engineer - AI Engineer

Remote, USA Duration: Fulltime Employee Job Overview: * AI Engineer with 6-9 years of experience ... LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and ...

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Experience with MLOps/LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain ...

Huzzle

AI Engineer - Remote

Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or ... Experience working in remote or distributed teams is a plus. Benefits Competitive salary based on ...

Huzzle

AI Engineer - Remote

... remote environment. Key Responsibilities * Design, build, and deploy AI/ML models for real-world ... LangChain. * Experience working with LLMs, generative AI, prompt engineering, or AI agents

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All JobsLangchain Remote Jobs

Langchain Remote information

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$28

$32

$36

How much do langchain remote jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for langchain remote in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $34.62 per hour, depending on experience, location, and employer.

What is a Langchain Remote job?

A Langchain Remote job typically refers to a position that involves working with Langchain, an open-source framework for developing applications powered by large language models, from a remote location. Employees in these roles may focus on software development, AI integration, prompt engineering, or related tasks using Langchain tools and libraries. Remote roles offer flexibility in work location, allowing professionals to collaborate online with teams globally. These jobs are popular among those interested in cutting-edge AI technology and remote work culture.

What are some common challenges faced by remote Langchain developers and how can they be addressed?

Remote Langchain developers often encounter challenges such as navigating asynchronous communication, staying updated with the rapidly evolving Langchain framework, and effectively collaborating on complex projects. To address these, it's important to establish clear communication channels (like Slack or Microsoft Teams), participate in regular virtual stand-ups, and proactively share progress or blockers. Engaging with the broader Langchain community and leveraging documentation or forums can also help stay current and troubleshoot issues efficiently.

What is the difference between Langchain Remote vs Python Developer?

AspectLangchain RemotePython Developer
Required CredentialsExperience with NLP, AI, and API integration; often self-taught or with specialized coursesBachelor's degree in Computer Science or related field; proficiency in Python
Work EnvironmentRemote, project-based, often freelance or contract rolesRemote or on-site, full-time or freelance roles in software development
Industry UsageAI, NLP, chatbot development, machine learning projectsWeb development, data analysis, automation, software engineering

Langchain Remote roles focus on AI and NLP projects requiring knowledge of language models and API integration, often in a remote, freelance setting. Python Developer roles are broader, covering various software development tasks across industries, with a strong emphasis on Python programming skills. While both can be remote, their core skills and project types differ significantly.

What are the key skills and qualifications needed to thrive as a LangChain Remote Developer, and why are they important?

To thrive as a LangChain Remote Developer, you need strong proficiency in Python, experience with language models (LLMs), and a solid understanding of natural language processing concepts. Familiarity with the LangChain framework, cloud platforms (like AWS or Azure), and APIs is typically required, along with experience using version control systems such as Git. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for this role. These competencies are crucial for building scalable, reliable language model applications and collaborating efficiently in distributed teams.
More about Langchain Remote jobs
What cities are hiring for Langchain Remote jobs? Cities with the most Langchain Remote job openings:
What are the most commonly searched types of Langchain jobs? The most popular types of Langchain jobs are:
What states have the most Langchain Remote jobs? States with the most job openings for Langchain Remote jobs include:
What job categories do people searching Langchain Remote jobs look for? The top searched job categories for Langchain Remote jobs are:
Langchain Remote jobs near you
Infographic showing various Langchain Remote job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $68,000 per year, or $32.7 per hour.

Full Stack Developer Python, React, Langchain

Ndimensions IT

Richmond, VA • Remote

Contractor

Posted 7 days ago

Job description

Full Stack Developer (Python, React, Langchain, Agentic AI) - Remote Contract

Location: Remote

Duration: 6 Months

Contract Type: W2, Contract, or C2C

Start Date: Immediate or as per availability

Client Industry: Third-Party Logistics (3PL), Supply Chain Management

About the Client

Our client is a fast-scaling innovator in the third-party logistics (3PL) space, leveraging intelligent automation to transform supply chain operations. They are building a next-generation logistics platform grounded in Agentic AI — enabling autonomous, goal-driven agents to optimize workflows, decision-making, and customer interactions.

Role Overview

We are seeking Full Stack Developers with a passion for building AI-native applications. This role focuses on developing a logistics platform powered by Agentic AI, using Langchain to orchestrate intelligent agents and Gen AI to enhance reasoning, retrieval, and automation. This is a remote, 6-month contract ideal for developers who thrive at the intersection of AI and real-world systems.

Responsibilities

- Design and develop full stack applications using Python and React

- Build and deploy Agentic AI workflows using Langchain and LLMs

- Architect autonomous agents for logistics use cases such as routing, exception handling, and predictive insights

- Integrate Gen AI capabilities for dynamic reasoning, semantic search, and task planning

- Collaborate with cross-functional teams to translate logistics requirements into scalable, intelligent systems

- Ensure performance, reliability, and maintainability of AI-driven applications

Required Skills

- Proficiency in Python and React for full stack development

- Hands-on experience with Langchain and LLM-based agent frameworks

- Strong understanding of Agentic AI principles and Gen AI tooling (e.g., OpenAI, Hugging Face, vector stores)

- Experience with RESTful APIs, microservices, and cloud-native deployment

- Familiarity with CI/CD pipelines, Git, and agile development practices

- Excellent communication and problem-solving skills

Preferred Qualifications

- Experience in logistics, supply chain, or transportation systems

- Exposure to RAG pipelines, semantic search, or autonomous agent orchestration

- Familiarity with containerization (Docker) and orchestration (Kubernetes)