ZipRecruiter

Log In

2

Remote Langchain Developer Jobs in Virginia (NOW HIRING)

Kobie Marketing

AI Engineer

Richmond, VA · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

The role partners with Product, Data Engineering, Software Engineering, Analytics, and business ... OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases Preferred ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

The role partners with Product, Data Engineering, Software Engineering, Analytics, and business ... OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases Preferred ...

All JobsLangchain Developer JobsRemote Langchain Developer JobsRemote Langchain Developer Jobs in Virginia

Remote Langchain Developer information

How do Remote Langchain Developers typically collaborate with team members and stakeholders across different time zones?

Remote Langchain Developers often work as part of distributed teams, which requires strong communication and collaboration skills. They frequently use tools like Slack, Zoom, or project management platforms to coordinate with colleagues and share progress. Developers may need to adjust their schedules for occasional meetings or code reviews to accommodate team members in other time zones. Clear documentation and proactive updates are essential to ensure everyone stays aligned on project goals and timelines.

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

To thrive as a Remote Langchain Developer, you need strong Python programming skills, experience with natural language processing (NLP), and a solid understanding of the LangChain framework and large language models. Familiarity with cloud platforms, REST APIs, and version control systems like Git is typically required, along with any relevant certifications in AI or cloud computing. Excellent problem-solving, self-motivation, and effective remote communication skills help set you apart in distributed teams. These skills ensure the efficient development of robust, scalable AI solutions while enabling seamless collaboration and innovation in a remote work environment.

What are Remote Langchain Developers?

Remote Langchain Developers are software professionals who specialize in building applications using the Langchain framework, which is designed to facilitate the development of language model-powered applications. They work from remote locations, collaborating with teams online to integrate large language models (LLMs) like OpenAI's GPT into various products and workflows. Their responsibilities typically include designing, coding, testing, and deploying solutions that leverage Langchain's capabilities for tasks such as data processing, chatbots, document analysis, and more. Remote Langchain Developers must be proficient in Python and have a strong understanding of AI, machine learning, and natural language processing concepts.
What are the most commonly searched types of Langchain Developer jobs in Virginia? The most popular types of Langchain Developer jobs in Virginia are:
What are popular job titles related to Remote Langchain Developer jobs in Virginia? For Remote Langchain Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Langchain Developer jobs in Virginia look for? The top searched job categories for Remote Langchain Developer jobs in Virginia are:
What cities in Virginia are hiring for Remote Langchain Developer jobs? Cities in Virginia with the most Remote Langchain Developer job openings:
Remote Langchain Developer jobs near you

Full Stack Developer Python, React, Langchain

Ndimensions IT

Richmond, VA • Remote

Contractor

Posted 26 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)