1

Langchain Developer Jobs in Washington (NOW HIRING)

Angular Developer

Dulles, VA · Remote

$56 - $68.50/hr

Angular Developer Location: Remote - Design and build scalable, maintainable frontend systems using ... tools (e.g., LangChain, Vertex AI, OpenAI API). Desired: - Experience creating AI-assisted UX ...

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 ...

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 ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

Langchain Developer information

See Washington salary details

$19

$59

$92

How much do langchain developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for langchain developer in Washington 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 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 Washington? The most popular types of Langchain Developer jobs in Washington are:
What job categories do people searching Langchain Developer jobs in Washington look for? The top searched job categories for Langchain Developer jobs in Washington are:
What cities in Washington are hiring for Langchain Developer jobs? Cities in Washington with the most Langchain Developer job openings:
Infographic showing various Langchain Developer job openings in Washington as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $124,478 per year, or $59.8 per hour.

LangChain QA Engineer - 100% REMOTE

System One

Washington, DC • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


Job description

Job Title: LangChain QA Engineer Location: 100% Remote Type: Long-Term Contract Compensation: Negotiable, W-2 or C2C Work Model: Remote – offsite Hours: 40 hours a week Security Clearance: No clearance but must pass background check which will include credit check

Ideal Candidate Profile A highly technical engineer who understands both modern software engineering and AI systems. This individual can independently assess whether an AI solution is accurate, secure, explainable, compliant, observable, and ready for production. They serve as the organization's independent quality authority for AI-powered solutions and help establish confidence in enterprise AI deployments before release to production.

Responsibilities • Establish and execute quality, validation, certification, and production readiness processes for AI-powered SDLC and enterprise automation solutions • Develop and implement evaluation frameworks measuring accuracy, relevance, groundedness, completeness, hallucination rates, retrieval quality, recommendation quality, and user satisfaction • Validate Retrieval-Augmented Generation (RAG) solutions utilizing Azure AI Search, Azure AI Foundry, LangChain, LangGraph, and enterprise repositories • Perform architecture reviews and quality assessments for AI solutions deployed on Azure services such as Containers, Functions, Databricks, SQL, Cosmos DB • Evaluate AI orchestration workflows including prompt execution, agent routing, tool calling, guardrails, retrieval pipelines, and human-in-the-loop processes • Validate security, governance, auditability, and compliance controls, including integrations with Entra ID, RBAC, managed identities, Key Vault, and data policies • Create production readiness checklists covering observability, monitoring, resiliency, recoverability, and operational support • Analyze traces, logs, metrics, and telemetry data to identify quality concerns and improvement opportunities • Collaborate with development teams for remediation of quality, security, and performance issues before deployment • Generate certification reports, scorecards, dashboards, and executive summaries for leadership review • Drive continuous improvements to validation methodologies, testing strategies, and evaluation frameworks • Lead certification and production readiness reviews for internal developer portals and platform initiatives

Requirements • Bachelor’s Degree in Computer Science, Software Engineering, Data Science, AI, or related field • 5+ years of experience in software quality engineering, platform engineering, software development, or related roles • 2+ years working directly with Generative AI, LLMs, RAG architectures, AI agents, or AI applications • Strong understanding of AI evaluation methodologies including accuracy testing and hallucination detection • Experience with Azure AI Foundry, Azure OpenAI, LangChain, LangGraph, LangSmith, or similar frameworks • Familiarity with cloud-native architectures and Azure services (Container Apps, Functions, Databricks, SQL, Key Vault, Cosmos DB) • Experience supporting enterprise developer platforms and self-service engineering capabilities • Skilled in designing automated test strategies, regression testing, and certification processes • Strong analytical, troubleshooting, and documentation skills • Excellent stakeholder engagement and communication abilities

Preferred Qualifications • Experience building or validating enterprise AI agents and multi-agent systems • Knowledge of AI observability and evaluation platforms like LangSmith • Familiarity with knowledge retrieval solutions, embeddings, and semantic search • Background in AI governance, Responsible AI, and compliance frameworks • Experience working in regulated industries such as healthcare, finance, or insurance • Proficiency with Azure DevOps, GitHub, and SDLC tooling • Knowledge of identity management concepts including Entra ID and RBAC • Ability to produce quality scorecards, dashboards, and KPI reports

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M1 #LI-CB3 Ref: #851-Rockville-S1