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Langchain Developer Jobs in Virginia (NOW HIRING)

Leidos

Agentic AI Developer

Chantilly, VA · On-site

$69K - $125K/yr

... using LangChain. • Experience with AI observability and tracing tools such as Langfuse. • ... engineering, RAG pipelines, and agent orchestration concepts. • Strong communication and problem ...

Leidos

Agentic AI Developer

Chantilly, VA

$69K - $125K/yr

Agentic AI Developer Who We Are: Kudu Dynamics is Leidos Owned Company, forged out of a decade of ... Experience building AI applications using LangChain. Experience with AI observability and tracing ...

Merican

AWS AI Engineer

Herndon, VA · On-site

Build and maintain agent-based workflows using frameworks like LangChain, CrewAI, or AutoGen ... Build and support Internal Developer Platforms (IDP) for AI use cases Must-Have Skills * Strong ...

Saransh Inc

AI Ops Engineer

Reston, VA · On-site

$72K - $97K/yr

AI Ops Engineer Location: Reston, VA (3 to 4 days onsite is must) Job Type: Contract Required ... Langchain * AWS * Experience in AI Development, MLOps, or a similar role with a focus on AI/ML ...

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

... LangChain (or equivalent) Develop scalable backend services and APIs using Python Integrate AI ... Engineering, or a related field 5+ years of experience in machine learning, AI engineering, or ...

Ekcel Technologies Inc

AI engineer

Reston, VA · On-site

The AI Engineer will work closely with data scientists, software engineers, business stakeholders ... LangChain, LangGraph, Amazon Bedrock Agents Create multi-agent workflows and orchestration ...

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How much do langchain developer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for langchain developer in Virginia is $52.39, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $64.09 per hour, depending on experience, location, and employer.

What is a Langchain developer?

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 as a Langchain developer?

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.

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 Langchain Developer jobs in Virginia? For Langchain Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Langchain Developer jobs in Virginia look for? The top searched job categories for Langchain Developer jobs in Virginia are:
Langchain Developer jobs near you
Infographic showing various Langchain Developer job openings in Virginia as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $108,962 per year, or $52.4 per hour.

Full Stack Developer Python, React, Langchain

Kriscon

Richmond, VA • On-site

Other

Re-posted 5 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)


Apply