1

Langgraph Jobs in Virginia (NOW HIRING)

... LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions • Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability • Collaborate ...

... LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions • Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability • Collaborate ...

Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions * Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance ...

Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions * Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance ...

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 ...

You will help organizations improve automation, insight, and operational efficiency while applying emerging technologies such as Microsoft Copilot, Google Cloud Agent Space, LangGraph, Glean, and ...

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 ...

AI Engineer

Arlington, VA · On-site

$116K - $243K/yr

Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions * Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance ...

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 ...

Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions * Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance ...

Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions * Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance ...

AI Engineer

Arlington, VA · On-site

$100K - $203K/yr

Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions * Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance ...

next page

Showing results 1-20

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 cities in Virginia are hiring for Langgraph jobs? Cities in Virginia with the most Langgraph job openings:
Infographic showing various Langgraph job openings in Virginia as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.
Agentic AI Engineer

Other

Posted 15 days ago


Job description

AGENTIC AI ENGINEER

We are seeking an Agentic AI Engineer to design and implement custom AI solutions using frameworks liek langGraph , CrewAI , Autogen etc. 

This is long-term contract opportunity with fortune 500 clients all across US. If you are interested, kindly respond back with the below skills summary along with your word formatted resume at the earliest.

Job description

AGENTIC AI ENGINEER

Architecting goal oriented, multi agent workflows using frameworks like langGraph , CrewAI , Autogen etc

API & Tools skills

Integrate LLMs, RAG pipelines and external APIs/tools into end-to-end agent systems

Build prompt templates, memory / state management and reusable workflow components

Ability to implement short-term (context window) and long term (Vector DB) memory systems

Developing and tuning control loops such as ReAct , chain of thoughts and self-reflection mechanism

Own testing and debugging for multi agent systems including tracing, evals and regression testing across workflows

Build guardrails and approval gates to prevent autonomous actions

Required Skills

Python, Go

AI Frameworks exposure like MCP, LangChain

Proficiency in Docker, Kubernetes and cloud AI services

Strong knowledge of programming language (Python must)

Candidate Details/Skills Matrix

Full Name:

Total Exp.:

Total exp. in Agentic AI:

Total exp. in Python & Go:

Total exp. in cloud AI services:

Contact No:

Email ID:

Current Location:

Work Authorization (if h1B, please provide your employer details:

Expected Salary/Rate:

Availability:

LinkedIn: