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Langgraph Jobs in Virginia (NOW HIRING)

Visa

Sr. Software Engineer

Ashburn, VA · Hybrid

$125K - $165K/yr

Develop solutions using agent frameworks such as LangGraph, LangChain, Haystack, or similar technologies. * Implement modern AI architectures leveraging AWS services including Bedrock, SageMaker ...

Credence

Senior AI Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). * Demonstrated curiosity and practical experimentation with ...

Credence

Senior AI Software Engineer

Mclean, VA · On-site

$155 - $200/hr

Pythonproficiencyand familiarity with librariesand frameworks(uv,Pydantic,FastAPI,CrewAI,LangChain,LangGraph, Unstructured). * Demonstrated curiosity and practical experimentation with emerging AI ...

Rohirrim, Inc.

Senior AI Engineer

Mclean, VA · On-site

$105K - $145K/yr

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 ...

Deloitte

Oracle Gen AI Manager

Mclean, VA · On-site

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 ...

Booz Allen Hamilton

Data Scientist

Suffolk, VA · On-site

$78 - $176/hr

Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph * Experience with embedded systems programming in C, C++, or Rus t * Ability to develop and maintain ...

Credence

Senior AI Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). * Demonstrated curiosity and practical experimentation with ...

Credence

Senior AI Software Engineer

Mclean, VA

$123K - $163K/yr

Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). * Demonstrated curiosity and practical experimentation with ...

Twenty Technologies, Inc

Applied AI Engineer

Arlington, VA · On-site

$159K - $263K/yr

Pydantic-AI, LangChain/LangGraph, CrewAI * Infra: Docker, Kubernetes; cloud platforms (AWS, GCP, Azure) * Experiment and artifact tracking: dataset/prompt/model versioning Security / Work Environment ...

Booz Allen Hamilton

Agentic AI Engineer

Mclean, VA

$99K - $225K/yr

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 ...

Kobie Marketing

AI Engineer

Richmond, VA · On-site

Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory * Package agent harnesses for the ...

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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 are popular job titles related to Langgraph jobs in Virginia?

For Langgraph jobs in Virginia, the most frequently searched job titles are:

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

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

What cities in Virginia are hiring for Langgraph jobs?

Cities in Virginia with the most Langgraph job openings:

Langgraph jobs near you
Infographic showing various Langgraph job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Sr. Software Engineer - Core Automation Platform

Visa

Ashburn, VA • On-site

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Visa rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

5th of 21 rated payment service providers

Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Job Description
Visa's Technology organization is a global community of innovators solving some of the most complex challenges in commerce. We operate one of the world's largest and most sophisticated payment networks, processing more than 65,000 secure transactions per second across 80M+ merchants, 15,000 financial institutions, and billions of consumers worldwide.
Joining Visa means working on highly distributed, large-scale systems that power the future of payments, data solutions, cybersecurity, AI, and next-generation customer experiences.
The Opportunity:
Global Operations is at the heart of Visa's production ecosystem, ensuring our critical services operate with exceptional reliability, availability, and performance for clients around the world.
As we accelerate our adoption of Automation, Generative AI, and AIOps, we're transforming how operational excellence is delivered at scale. This team is responsible for building intelligent, resilient, and future-ready operational capabilities across Visa's technology landscape.
In this role, you will:
  • Help shape the future of AI-driven operations for one of the world's largest payment platforms.
  • Build and scale intelligent automation, observability, and operational solutions for highly integrated, high-throughput systems.
  • Leverage GenAI and AIOps to improve incident detection, response, and system reliability.
  • Collaborate with world-class engineers to solve complex technical challenges at global scale.
  • Contribute to a culture that values innovation, continuous learning, blameless postmortems, and proactive problem solving.

What You'll Do
Generative AI Platform Engineering
  • Design and build reusable GenAI platforms, SDKs, pipelines, and shared frameworks that accelerate AI adoption across engineering teams.
  • Develop solutions using agent frameworks such as LangGraph, LangChain, Haystack, or similar technologies.
  • Implement modern AI architectures leveraging AWS services including Bedrock, SageMaker, embeddings, vector databases, and agentic workflows.
  • Design and optimize Retrieval-Augmented Generation (RAG) architectures, LLM orchestration layers, evaluation frameworks, and LLMOps processes.

Full-Stack AI Application Development
  • Design and develop production-ready AI applications using:
    • Backend: Python, FastAPI, Flask, Node.js, Kafka
    • Frontend: React, TypeScript, and REST/GraphQL integrations
  • Build secure APIs, microservices, event-driven architectures, and enterprise integrations.
  • Create intuitive, scalable user experiences for AI-powered products and platforms.
  • Implement CI/CD automation using tools such as GitHub Actions, Jenkins, Bitbucket, Jira, ServiceNow, and Artifactory.
  • Apply containerization, automated testing, infrastructure-as-code (Terraform, CloudFormation), and deployment best practices.
  • Ensure robust monitoring, logging, observability, and recovery strategies are built into every solution. Partner closely with cybersecurity teams to deliver secure, enterprise-grade AI solutions in production.

Why Join Visa?
You'll have the opportunity to build AI solutions that operate at global scale, influence the future of operational excellence at Visa, and work alongside talented engineers who are redefining what's possible with Generative AI, Automation, and AIOps.
We recognize that great candidates bring diverse experiences and perspectives. If you're excited about this opportunity but don't meet every qualification listed, we still encourage you to apply.
Hybrid Work Model: Visa requires at least 3 days in office; expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
  • 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications:
  • 2-5 years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • Bachelor's or Master's in Computer Science, Engineering, AI/ML, or related field.
  • Experience working within Agile development environments, including SAFe and globally distributed teams
  • Technical Experience
  • Generative AI frameworks and tools such as LangGraph, LangChain, Haystack, AWS Bedrock, or similar platforms.
  • Backend development using Python, with FastAPI strongly preferred.
  • Frontend development using React and TypeScript.
  • Event-driven architectures and messaging technologies such as Kafka/MQ/SQS
  • Vector databases and retrieval technologies such as FAISS, Pinecone, Weaviate, OpenSearch, or similar solutions.
  • CI/CD automation and developer platforms, including GitHub, Bitbucket, Jira, Jenkins, ServiceNow, and related tooling.
  • Experience in one or more of the following areas is highly desirable:
  • Distributed systems, microservices architecture, and API design.
  • Retrieval-Augmented Generation (RAG) implementations at scale using cloud-based or enterprise vector stores.
  • Building and deploying solutions on AWS, including Lambda, ECS/EKS, S3, API Gateway, Bedrock, and SageMaker.
  • Event-driven architectures and messaging technologies such as Kafka or Kinesis.
  • Developing reusable platforms, frameworks, or developer tools that accelerate adoption across engineering teams.
  • Payments, financial services, risk management, fraud analytics, or other highly regulated industries.

Information for US Applicants
For roles located in the US, the estimated salary range for this position is $110,700.00 to $ 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

What Visa employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958

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