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Remote Langchain Developer Jobs in Quinton, VA (NOW HIRING)

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Remote Langchain Developer information

See Quinton, VA salary details

$15

$48

$74

How much do remote langchain developer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote langchain developer in Quinton, VA is $48.35, according to ZipRecruiter salary data. Most workers in this role earn between $36.97 and $59.18 per hour, depending on experience, location, and employer.

What is a remote Langchain developer?

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 key skills and qualifications needed to thrive as a remote Langchain developer?

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.

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 cities near Quinton, VA are hiring for Remote Langchain Developer jobs?

Cities near Quinton, VA with the most Remote Langchain Developer job openings:

Infographic showing various Remote Langchain Developer job openings in Quinton, VA as of August 2026, with employment types broken down into 74% Full Time, 2% Part Time, and 24% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $100,576 per year, or $48.4 per hour.

AI Engineer (Public Trust)

Glen Allen, VA • Remote

Contractor

Re-posted 11 days ago


Job description

Job Description:

Job Title: AI Developer / AI Engineer
Remote (DMV)
Duration: 5 Years
Clearance: Public Trust

Job Summary:
We are seeking a skilled AI Engineer to design, develop, and deploy scalable AI/ML and Generative AI solutions. The role involves building intelligent systems, integrating AI into enterprise applications, and optimizing model performance in production environments.

Key Responsibilities:
  • Design and develop AI/ML and Generative AI solutions
  • Build and implement RAG (Retrieval-Augmented Generation) pipelines
  • Develop semantic search systems using embeddings and vector databases
  • Integrate LLMs (OpenAI, Anthropic, etc.) into applications
  • Build scalable ML pipelines for training and deployment
  • Develop APIs and microservices (FastAPI, Flask, etc.)
  • Perform data preprocessing, feature engineering, and model evaluation
  • Deploy solutions on AWS/Azure/GCP cloud platforms
  • Implement MLOps practices (CI/CD, monitoring, model versioning)
  • Collaborate with cross-functional teams

Required Skills:
  • Strong programming skills in Python
  • Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
  • Hands-on experience with Generative AI / LLMs (LangChain, OpenAI APIs)
  • Understanding of NLP, embeddings, vector search, and RAG
  • Experience with databases (SQL/NoSQL, PostgreSQL, Redis, etc.)
  • Experience with API development and backend systems
  • Familiarity with Docker, Kubernetes
  • Experience with cloud platforms (AWS/Azure/GCP)

Preferred Qualifications:
  • Experience with LLM fine-tuning or embedding optimization
  • Knowledge of evaluation metrics (Precision@K, MRR, nDCG)
  • Experience with Airflow, Kafka, or Spark
  • Exposure to React/Next.js or frontend technologies
  • Experience in Agile environments

Key Technologies:
Python | PyTorch | TensorFlow | LangChain | OpenAI | RAG | FAISS | Pinecone | PostgreSQL | Redis | FastAPI | AWS | Azure | Docker | Kubernetes