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Langgraph Jobs in Washington (NOW HIRING)

Agentic AI Engineer

Mclean, VA · On-site

$99 - $225/hr

Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen. * Develop and deploy multi‑agent systems using Model Context ...

AI Engineer

Washington, DC · On-site +1

$141K - $236K/yr

Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel. Minimum Qualifications: * Must possess 7 or more years of experience in AI/ML production engineering, development ...

Validate Retrieval-Augmented Generation (RAG) solutions utilizing Azure AI Search, Azure AI Foundry, LangChain, LangGraph, and enterprise repositories * Perform architecture reviews and quality ...

Validate Retrieval-Augmented Generation (RAG) solutions utilizing Azure AI Search, Azure AI Foundry, LangChain, LangGraph, and enterprise repositories * Perform architecture reviews and quality ...

Principal AI Architect

Rockville, MD · On-site

$108 - $180/hr

Lead the design and implementation of AI agent frameworks using LangChain, LangGraph, and related orchestration platforms. * Collaborate with engineering teams to integrate large language models ...

AI Engineer

Washington, DC · On-site

$141K - $236K/yr

Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel. Minimum Qualifications: * Must possess 7 or more years of experience in AI/ML production engineering, development ...

Validate Retrieval-Augmented Generation (RAG) solutions utilizing Azure AI Search, Azure AI Foundry, LangChain, LangGraph, and enterprise repositories * Perform architecture reviews and quality ...

Senior AI Engineer

Mclean, VA · On-site

$120 - $150/hr

Design and implement agentic orchestration using frameworks such as LangGraph, AutoGen, CrewAI, or custom-built solutions tailored to Rohirrim's platform requirements. * Develop tool-using, reasoning ...

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP transformation programs for large enterprises The wage range for this role takes into account the wide ...

ETL Data Engineer

Tysons, VA · Remote

$70 - $88/hr

Develop AI agent systems using AWS Bedrock and agent frameworks such as Strands Agents SDK or LangChain/LangGraph. * Design agent harnesses that combine LLM reasoning with deterministic execution ...

Showing results 21-40

Langgraph information

What is a Langgraph?

Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.

What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.

What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?

To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.

What is the difference between Langgraph vs Data Analyst?

AspectLanggraphData Analyst
Required CredentialsTypically requires knowledge of language processing and graph databasesUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI research labs, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Industry UsageEmerging role in AI and NLP projectsEstablished role in data interpretation and reporting

While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.

What job categories do people searching Langgraph jobs in Washington look for?

The top searched job categories for Langgraph jobs in Washington are:

What cities in Washington are hiring for Langgraph jobs?

Cities in Washington with the most Langgraph job openings:

Infographic showing various Langgraph job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 1% Part Time, 2% Temporary, and 9% Contract. Highlights an 73% Physical, 6% Hybrid, and 21% Remote job distribution.

Agentic AI Engineer

Phase2 Technology

Mclean, VA • On-site

$99 - $225/hr

Other

Medical, Life, Retirement, PTO

Posted 4 days ago


Job description

Job Number: R0238708

Agentic AI Engineer

We are looking for a highly skilled Agentic AI Engineer to join our team, specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi‑agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine‑tuning Small Language Models (SLMs) for edge deployment.

Responsibilities
  • Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.
  • Develop and deploy multi‑agent systems using Model Context Protocol (MCP) and Agent‑to‑Agent (A2A) protocols to facilitate communication, tool usage, and collaborative task solving.
  • Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.
  • Fine‑tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.
  • Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human‑in‑the‑loop.
Qualifications
  • 5+ years of experience in software development.
  • 3+ years of experience with GenAI, LLMs, and agentic workflows.
  • 3+ years of experience with LangChain, LangGraph, AutoGen, or LlamaIndex.
  • Experience with MCP for tool integration and A2A for agent‑to‑agent collaboration.
  • Experience with RAG architecture and KG, including Neo4j or NebulaGraph.
  • Experience fine‑tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA.
  • Knowledge of modern software design patterns, including microservice design or edge computing.
  • Ability to obtain a Secret clearance.
  • Bachelor's degree in a CS or AI field.
Nice to Have
  • Experience deploying agentic systems in a production environment.
  • Experience deploying agents on edge devices such as Android or local models.
  • Experience integrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results.
  • Master's degree in a CS or AI field preferred; Doctorate degree in CS or Statistics a plus.
Security Clearance Requirement

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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