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Langgraph Jobs in Washington (NOW HIRING)

Dataquad Inc.

GenAI Engineer

Rockville, MD · On-site

$116K - $140K/yr

LangChain, LangGraph, AWS Strands, or equivalent • Working knowledge of prompt engineering, RAG architectures, and context/memory management • Experience with foundation model APIs (Anthropic ...

Snowrelic Inc

Senior UI Developer

Mclean, VA · Remote

$61.50 - $79.50/hr

Experience with LangGraph, LangChain, or similar agent orchestration frameworks * Knowledge of semantic web technologies and knowledge graphs * Experience with A/B testing and user interaction ...

Software Guidance & Assistance

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Stay informed of advances in LLM frameworks (LangGraph, Google ADK, AWS Strands) and emerging AI capabilities * Write clean, well-tested code; contribute to CI/CD Jenkins pipelines and infrastructure ...

Frontier Technology Inc.

AI/ML Engineer

Washington, DC · Remote

$190K - $220K/yr

Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy. * Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.

Frontier Technology Inc.

AI/ML Engineer

Washington, DC · Remote

$190K - $220K/yr

Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy. * Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.

ManTech

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 ...

Ekcel Technologies Inc

AI engineer

Reston, VA · On-site

LangChain, LangGraph, Amazon Bedrock Agents Create multi-agent workflows and orchestration frameworks. Integrate agents with enterprise applications and APIs. Build human-in-the-loop workflows for ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

LangChain, LangGraph, Amazon Bedrock Agents * Create multi-agent workflows and orchestration frameworks. * Integrate agents with enterprise applications and APIs. * Build human-in-the-loop workflows ...

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Langgraph information

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 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 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 popular job titles related to Langgraph jobs in Washington? For Langgraph jobs in Washington, the most frequently searched job titles are:
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:
Langgraph jobs near you
Infographic showing various Langgraph job openings in Washington as of June 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

AI Engineer with Security Clearance

MANTECH

Washington, DC • On-site

Other

Re-posted 16 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 246 rated software companies

Job description

MANTECH seeks a motivated, career, and customer-oriented AI Engineer for a new initiative. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across a cloud, edge, and classified operational environment. The AI Engineer supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern Hub-and-Spoke architecture, supporting mission applications and enterprise AI governance. Responsibilities include but are not limited to: * Design, develop, and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps).
* Implement and deploy Retrieval-Augmented Generation (RAG) architectures in production.
* Build and maintain scalable AI orchestration frameworks and production-ready AI systems.
* Manage and optimize Kubernetes-based AI deployments, focusing on GPU inference optimization.
* Conduct core Python development for AI systems and integrate OpenAI-compatible APIs into mission solutions.
* 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, or related roles. Relevant additional experience will be considered in lieu of degree.
* Proven proficiency in Python development and experience with AI/ML libraries like TensorFlow or PyTorch.
* In-depth knowledge of MLOps/LLMOps principles and full machine learning lifecycle management.
* Experience with Kubernetes-based AI deployments and GPU optimization techniques.
* Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center). Preferred Qualifications: * Bachelor's degree in Computer Science, Engineering or a related field.
* Experience with LangGraph, Semantic Kernel, and agentic AI systems.
* Familiarity with Ray, NVIDIA GPU ecosystems, or Vector databases.
* Advanced degree (Master's or PhD) in a technical field. Clearance Requirements: * TS/SCI with the ability to obtain and maintain a polygraph Physical Requirements: * The person in this position must be able to remain in a stationary position 50% of the time.
* Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
* Constantly operates a computer and other office productivity machinery.

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