ZipRecruiter

Log In

2

Remote Langchain Developer Jobs in Washington (NOW HIRING)

Northramp LLC

AI Engineer (Mid)

Washington, DC · Remote

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington ... Hands-on experience with Google ADK or comparable agentic frameworks (LangGraph, LangChain, AutoGen)

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

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

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

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 ...

Expression

AI/ML Engineer

Washington, DC · On-site +1

$130K - $170K/yr

Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks ... Hybrid or Remote with limited travel Benefits: Expression offers competitive salaries and benefits ...

New

10a Labs

AI Red Teamer

Washington, DC · On-site +1

$70K - $90K/yr

Experience with prompt-automation frameworks (e.g., Promptfoo, LangChain, Garak). Familiarity with ... Fully remote (U.S.-based) with flexible hours. * Comprehensive health, dental, and vision.

next page

Showing results 1-20

All JobsLangchain Developer JobsRemote Langchain Developer JobsRemote Langchain Developer Jobs in Washington

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 Washington? The most popular types of Langchain Developer jobs in Washington are:
What are popular job titles related to Remote Langchain Developer jobs in Washington? For Remote Langchain Developer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Langchain Developer jobs in Washington look for? The top searched job categories for Remote Langchain Developer jobs in Washington are:
What cities in Washington are hiring for Remote Langchain Developer jobs? Cities in Washington with the most Remote Langchain Developer job openings:
Remote Langchain Developer jobs near you
AI Engineer (Mid)

AI Engineer (Mid)

Northramp LLC

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

We are looking for an Application Architect with strong AI engineering experience to design and build intelligent, agentic applications on Google Cloud Platform. This role sits within an application engineering team and focuses on architecting AI-enabled systems using the Google Agentic Development Kit (ADK), Gemini, and Vertex AI — integrated into enterprise Java/Python backends and cloud-native microservices. You are equally comfortable defining application architecture, designing agentic workflows, writing production-quality code, and translating AI capabilities into practical, mission-aligned solutions for federal stakeholders.

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington DC.

Key Responsibilities
  • Architect and implement AI-enabled application systems on GCP, with a focus on agentic workflows using Google ADK and Gemini Pro.
  • Design human-in-the-loop agentic systems — defining agent roles, tool use, orchestration patterns, and guardrails for responsible, auditable AI behavior.
  • Integrate AI/ML capabilities (Vertex AI, Gemini APIs, embeddings, RAG) into enterprise Java and Python applications via well-designed APIs and microservices.
  • Lead application-layer design decisions: data flow, context management, session handling, and state management within agentic architectures.
  • Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application solutions are grounded in reliable, governed data.
  • Conduct architectural reviews, define coding standards for AI-integrated applications, and mentor engineers on agentic design patterns.
  • Evaluate AI use cases for feasibility, risk, and mission fit; prototype and validate approaches before committing to full builds.
  • Contribute to responsible AI practices: explainability, human oversight, auditability, and alignment with federal AI governance requirements.
  • Stay current on the Google AI ecosystem (Gemini, ADK, Vertex AI Agent Builder) and inform team and leadership on strategic direction.

Requirements

Required Qualifications
  • 5–8 years of software or application engineering experience, with demonstrated focus on AI-integrated or intelligent application design.
  • Hands-on experience with Google ADK or comparable agentic frameworks (LangGraph, LangChain, AutoGen); Google ADK strongly preferred.
  • Proficiency in Python for AI/ML integration; Java experience a plus in application team context.
  • Experience integrating LLM APIs (Gemini, OpenAI, or equivalent) into production application workflows.
  • Solid understanding of agentic design patterns: tool use, multi-agent orchestration, retrieval-augmented generation (RAG), memory and context management.
  • Experience with GCP services: Vertex AI, Cloud Run, GKE, BigQuery, Pub/Sub.
  • Familiarity with REST API design, microservices architecture, and CI/CD pipelines (Harness preferred).
  • Understanding of responsible AI principles: human-in-the-loop design, auditability, bias awareness, and federal AI governance.
Desired Qualifications
  • Experience with Vertex AI Agent Builder, Gemini Code Assist, or Gemini CLI in a development workflow context.
  • Familiarity with GCP-native data tooling: BigQuery, Dataform, Looker.
  • Experience on federal or large-scale enterprise modernization programs.
  • Exposure to FedRAMP/FISMA requirements and security-compliant AI deployment practices.
  • Experience with DevSecOps pipelines (Checkmarx, Invicti, or equivalent SAST/DAST tooling).
Additional Information
  • Successful completion of a client-required background investigation and suitability determination will be required.
  • The ability to obtain and maintain a federal security clearance may be required based on engagement.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field; advanced degree a plus.
  • Google Cloud Professional Cloud Architect or Professional Machine Learning Engineer certification preferred.
  • Security+ desirable.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Wellness Resources
  • Employee Bonus Programs