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Langchain Developer Jobs in Virginia (NOW HIRING)

InterImage

AI/ML Software Developer

Arlington, VA · On-site

We are seeking a highly skilled Full Stack Developer with strong software design expertise to ... Familiarity with frameworks such as LangChain, LlamaIndex, or OpenAI function calling * Experience ...

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Experience with at least one LLM orchestration framework (LangChain, LlamaIndex, LangGraph, CrewAI, or equivalent) * Strong prompt engineering skills -- system prompts, few-shot design, chain-of ...

Steampunk

Full Stack Developer

Mclean, VA · On-site

$140K - $190K/yr

The Developer will work across the full stack of AI development, from data ingestion and model ... Familarwith modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain ...

Steampunk

Full Stack Developer

Mclean, VA

$140K - $190K/yr

The Developer will work across the full stack of AI development, from data ingestion and model ... Familarwith modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain ...

Steampunk

Full Stack Developer

Mclean, VA · On-site +1

$140K - $190K/yr

The Developer will work across the full stack of AI development, from data ingestion and model ... Familarwith modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain ...

Arcfield

Senior AI Developer

Dahlgren, VA · On-site

$55.50 - $73.50/hr

LangChain * LlamaIndex * Experience implementing retrieval augmented generation (RAG) workflows * Experience in context engineering * Determining the inputs, shape, and size provided to AI endpoints

Steampunk

Senior AI Developer

Mclean, VA · On-site

$55 - $72.75/hr

... Transformers, LangChain, LlamaIndex, or similar. * Demonstrated ability to design and develop ... Familiarity with multi-agent orchestration frameworks, prompt engineering strategies, and advanced ...

Steampunk

Senior AI Developer

Mclean, VA · Hybrid

$55 - $72.75/hr

... Transformers, LangChain, LlamaIndex, or similar. * Demonstrated ability to design and develop ... Familiarity with multi-agent orchestration frameworks, prompt engineering strategies, and advanced ...

Steampunk

Senior AI Developer

Mclean, VA · Hybrid

$55 - $72.75/hr

We are seeking a dynamic, forward-thinking Senior AI Software Engineer (GenAI, Agents & RAG) to ... Transformers, LangChain, LlamaIndex, or similar. * Demonstrated ability to design and develop ...

Apptium Technologies

Be Seen First

Senior Software Developer

Reston, VA · On-site

$135K - $145K/yr

... LangChain, etc) and cloud AI services (AWS SageMaker, Azure ML, Google AI) and AI security ... JIRA, Azure DevOps, Confluence, Sharepoint, etc. WHAT'S IN IT FOR YOU? * Competitive Salary and ...

United Airlines

Scala Engineer

Mclean, VA · On-site

$116K - $139K/yr

... the engineering team using AI coding workflows Mentor engineers and set best practices for AI ... development LangChain LlamaIndex RAG pipelines vector databases Pinecone Weaviate pgvector ...

Synnex

Senior Software Developer

Reston, VA

$56.75 - $75/hr

... LangChain, etc) and cloud AI services (AWS SageMaker, Azure ML, Google AI) and AI security ... JIRA, Azure DevOps, Confluence, Sharepoint, etc. WHAT'S IN IT FOR YOU? * Competitive Salary and ...

TD SYNNEX

Senior Software Developer

Reston, VA · On-site

$56.75 - $75/hr

... LangChain, etc) and cloud AI services (AWS SageMaker, Azure ML, Google AI) and AI security ... JIRA, Azure DevOps, Confluence, Sharepoint, etc. WHAT'S IN IT FOR YOU? * Competitive Salary and ...

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All JobsLangchain Developer JobsLangchain Developer Jobs in Virginia

Langchain Developer information

See Virginia salary details

$16

$52

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How much do langchain developer jobs pay per hour?

As of Aug 6, 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 August 2026, with employment types broken down into 76% Full Time, 9% Part Time, and 15% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $108,962 per year, or $52.4 per hour.

AI/ML Software Developer

InterImage

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

**Secret OR Top Secret Clearance Required**
We are seeking a highly skilled Full Stack Developer with strong software design expertise to design, build, and scale modern applications that integrate data-intensive systems and Generative AI capabilities. This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large datasets and advanced language models.
You will work closely with cross-functional teams to architect, develop, and deploy scalable applications, while helping drive the integration of LLM/GenAI technologies into production environments.
Key Responsibilities
Full Stack Development
  • Design, develop, and maintain end-to-end web applications (front-end, back-end, and APIs)
  • Build scalable backend services using Python frameworks (e.g., Flask, FastAPI, Django)
  • Develop responsive, user-friendly front-end interfaces using modern frameworks (React, Angular, or similar)
  • Architect and implement RESTful and/or GraphQL APIs
  • Ensure application performance, scalability, and security across the stack

Database & Data Engineering
  • Design, develop, and optimize relational and/or NoSQL database systems
  • Create efficient data models and schemas to support large-scale applications
  • Develop scripts and pipelines to ingest, transform, and manage data flows
  • Troubleshoot performance bottlenecks and ensure data integrity
  • Work with large, complex datasets to enable analytics and AI use cases

Generative AI / LLM Integration
  • Build, test, and deploy LLM-powered applications and workflows
  • Integrate Generative AI capabilities into existing platforms and user experiences
  • Evaluate and assess LLM outputs for performance, accuracy, and usability
  • Implement Retrieval-Augmented Generation (RAG) pipelines and vector database integrations
  • Support fine-tuning, prompt engineering, and optimization of models for mission-specific use cases

System Design & Architecture
  • Contribute to the design of scalable, distributed system architectures
  • Collaborate with engineers to integrate AI components into enterprise environments
  • Balance tradeoffs between performance, cost, and scalability
  • Support CI/CD pipelines and DevSecOps best practices for deployment

Client & Mission Support
  • Translate ambiguous requirements into technical solutions
  • Help stakeholders understand evolving AI/technology options
  • Provide guidance on best practices for integrating AI into business workflows

Requirements
Required Qualifications
  • Strong experience developing Python applications from scratch, including testing and deployment
  • Hands-on experience with full stack development (front-end + back-end)
  • Proficiency with database design and management (SQL and/or NoSQL)
  • Experience with data wrangling, transformation, and scripting for data pipelines
  • Familiarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflows
  • Experience building and consuming APIs
  • Understanding of software development best practices (version control, testing, CI/CD)

Preferred / Nice-to-Have Qualifications
  • Experience deploying and managing LLMs locally and in cloud environments
  • Hands-on experience with fine-tuning models and integrating them into production systems
  • Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS)
  • Knowledge of prompt engineering and content filtering techniques
  • Familiarity with frameworks such as LangChain, LlamaIndex, or OpenAI function calling
  • Experience with model distillation and optimization
  • Exposure to knowledge graphs and graph databases (e.g., Neo4j)
  • Experience working in cloud environments (AWS, Azure, or GCP)

Benefits
  • 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
  • PTO: 20 days per year
  • Healthcare, dental, vision, Free for a single participant
  • $50,000 Life insurance provided, additional voluntary life insurance available

InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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