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Remote Langchain Developer Jobs in Washington, DC

AI Developer/ Applied ML Practitioner

Washington, DC ยท On-site +1

$162K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description AI Developer/ Applied ML Practitioner (Washington, DC/ remote) What to expect when you ... Strong skills in AI/ML software engineering, Python, LLMs, RAG, vector databases, LangChain, AWS ...

AI Platform Engineer, Senior

Laurel, MD ยท On-site +1

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0234072 Location: Laurel,MD,US Share job via: Share AI Platform ... Experience with agentic frameworks, including LangChain * Experience with vector databases and ...

AI/ML Engineer, Mid

Washington, DC ยท On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0238610 Location: Washington,DC,US Share job via: Share AI/ML Engineer ... Experience with generative and agentic AI technologies such as LLMs, MCP, LangChain, or LangGraph

Data Engineer II

Columbia, MD ยท On-site +1

$100K/mo

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience with LLM development frameworks and orchestration tools such as LangChain ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

Data Engineer II

Columbia, MD ยท On-site +1

$93K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience with LLM development frameworks and orchestration tools such as LangChain ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

Machine Learning Engineer

Washington, DC ยท On-site +1

$130K - $200K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... LangChain, LlamaIndex, OpenAI Agents, or AutoGen. Compensation: * Salary Range : $130K-$200K ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

AI/ML Engineer

Mclean, VA ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship ... Hands-on experience with LangChain, Haystack, crewAI, LlamaIndex, or a comparable AI application ...

AI/ML Engineer

Mclean, VA ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship ... Hands-on experience with LangChain, Haystack, crewAI, LlamaIndex, or a comparable AI application ...

Showing results 21-40

Remote Langchain Developer information

See Washington, DC salary details

$19

$59

$92

How much do remote langchain developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote langchain developer in Washington, DC is $59.85, according to ZipRecruiter salary data. Most workers in this role earn between $45.72 and $73.22 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 are the most commonly searched types of Langchain Developer jobs in Washington, DC?

The most popular types of Langchain Developer jobs in Washington, DC are:

What job categories do people searching Remote Langchain Developer jobs in Washington, DC look for?

The top searched job categories for Remote Langchain Developer jobs in Washington, DC are:

Infographic showing various Remote Langchain Developer job openings in Washington, DC as of June 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $124,478 per year, or $59.8 per hour.

Gen AI / Agentic Engineer

Interon IT Solutions

Chantilly, VA โ€ข Remote

Contractor

Re-posted 1 hour ago


Job description

#W2 Role

Job Title: Gen AI / Agentic Engineer

Location: Remote 
Type: W2 Contract 
Experience: 10+ years overall IT, 2+ years GenAI/LLM

Job Summary

We are looking for a GenAI / Agentic Engineer to design, build, and deploy LLM-powered applications on AWS. This role is focused on real production engineering—APIs, RAG pipelines, agent workflows, evaluation, deployment, monitoring, and performance/cost tuning.

Responsibilities

  • Build and maintain LLM-powered backend services using Python and FastAPI (chat, search, summarization, Q&A).
  • Design and implement RAG pipelines end-to-end: ingestion, parsing, chunking, embeddings, indexing, retrieval, reranking, and grounded responses.
  • Develop agentic workflows for multi-step automation (tool calling, orchestration, state/memory, retries, audit logs).
  • Deploy and support GenAI workloads on AWS using ECS/Lambda, S3, SQS, DynamoDB/RDS, OpenSearch (or vector store), and related services.
  • Implement security and governance controls: auth, authorization, secrets, encryption, PII handling, and prompt-injection defenses.
  • Build evaluation and monitoring for quality, hallucination reduction, latency, and cost (test sets, regression checks, dashboards, alerts).
  • Work across full SDLC: design docs, estimates, coding, code reviews, CI/CD, testing, release, and production support.
  • Communicate architecture decisions clearly and explain tradeoffs (accuracy vs latency vs cost) to stakeholders.

Required Skills (Point-Based)

  • 10+ years overall IT experience with backend/API engineering and cloud deployments
  • 2+ years hands-on GenAI/LLM experience delivering real features (not just demos)
  • 6+ years strong Python (core Python, clean coding, debugging, packaging)
  • Experience with asyncio and concurrency (threads/async), plus profiling and performance tuning
  • Comfortable with stateful/long-running workflows: transaction handling, retries, idempotency, and failure recovery
  • 5+ years building REST APIs / microservices, strong API design and error handling
  • 5+ years with FastAPI (or similar) including middleware, dependency injection, background tasks
  • Experience implementing auth/security using JWT/OAuth, RBAC, secure configuration, secrets handling
  • Strong testing discipline using pytest (unit/integration tests, mocks, API contract testing)
  • Proven experience building RAG systems end-to-end: chunking strategies, embeddings, retrieval tuning, reranking, grounding/citations
  • Hands-on with RAG optimization: hybrid retrieval, metadata filters, top-k tuning, chunk tuning, reranking strategies
  • Experience with agentic patterns: tool calling, orchestration, memory/state, structured outputs, audit trails
  • Experience implementing guardrails: output schema enforcement (JSON), refusal handling, safety filters, prompt-injection defenses, PII masking
  • 5+ years AWS experience using ECS/Lambda, S3, SQS, DynamoDB/RDS (and related services)
  • Strong AWS security fundamentals: IAM, KMS, Secrets Manager, CloudWatch logs/metrics/alarms
  • Experience deploying LLM workloads via Amazon Bedrock (preferred) or SageMaker
  • Strong system design: scalability, caching, rate limiting, queues, resilience/failure handling
  • Ability to clearly explain GenAI architecture decisions and tradeoffs across accuracy/latency/cost

Nice to Have

  • LangChain / LangGraph / LlamaIndex (any)
  • OpenSearch vector search or vector DB experience (Pinecone/Weaviate/FAISS, etc.)
  • Docker, Terraform/CDK, CI/CD (GitHub Actions/Jenkins)
  • Experience in regulated environments (finance/healthcare/telecom) with governance controls