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Langgraph Jobs in Reston, VA (NOW HIRING)

Tactical Edge

Agentic AI Engineer

Washington, DC · On-site

$150 - $210/hr

Design and build multi-agent systems using frameworks like LangGraph, CrewAI, or custom orchestration. * Implement tool-use, function calling, and agentic workflows that operate reliably in ...

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 ...

Phase2 Technology

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 ...

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 ...

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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 Reston, VA look for?

The top searched job categories for Langgraph jobs in Reston, VA are:

What cities near Reston, VA are hiring for Langgraph jobs?

Cities near Reston, VA with the most Langgraph job openings:

Langgraph jobs near you

Senior Machine Learning Engineer

Nyla Technology Solutions

Arlington, VA • On-site

$220 - $250/hr

Other

Posted 8 days ago

Job description

*AWAITING FINAL AWARD*


At Nyla, we are proud to deliver solutions that make a real impact! We're seeking an experienced, visionary Senior Machine Learning Engineers to orchestrate and optimize complex machine learning workloads at a fundamental level.


In this role, you will design and implement production ML infrastructure, mentor technical talent, drive complex prompt engineering, and direct LangGraph multi-agent orchestration. You'll oversee automated Agent Test and Evaluation (T&E) harnesses while managing model lifecycles within isolated data sandboxes using MLflow. You will be building \"enterprise capabilities\" within the Department of War's authoritative data analytics platform (War Data Platform) for the Chief Digital and AI Officer (DoW CDAO). If you are passionate about leading AI innovation, establishing statistical verification gates, and pushing technology boundaries, we'd love to connect!


Key Responsibilities:

  • Architect and lead the implementation of infrastructure for training, validating, and deploying large-scale machine learning models into production.

    • Technical lead for advanced prompt engineering frameworks and multi-agent systems via LangGraph to support automated analytical tasks.


    • Oversee model lifecycles within isolated data sandboxes using MLflow, establishing enterprise bias mitigation and statistical verification gates.


    • Provide technical mentorship and guidance to engineering team members to ensure continuous innovation and technical excellence.





The annual base salary range for this role is $220,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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