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Flask Developer Jobs in Virginia (NOW HIRING)

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate ... Develop scalable, high-performance Python microservices using FastAPI/Flask for data pipelines ...

Guidehouse

Full Stack Developer

Mclean, VA · On-site

Django experience is preferred; equivalent experience with Flask, FastAPI, Falcon, or SQLAlchemy ... AWS Certified Developer certification. * AWS Certified Solutions Architect certification.

VTG

Full Stack Developer

Chantilly, VA · On-site

... as Flask, Django, or FastAPI. * Experience developing and maintaining unit and integration tests ... Ability to work collaboratively with a Lead Developer and other technical team members.

ECS

AI Model Developer with Security Clearance

Fairfax, VA · On-site

$125K - $150K/yr

Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js). * Databases: Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). * DevOp ...

Ironclad Defense Works

Full Stack Developer

Norfolk, VA · On-site

$96K - $149K/yr

Experience with modern front-end frameworks (e.g., React/Angular) and back-end frameworks (e.g., Node.js, Django/Flask, Spring Boot). * Database design and programming experience (SQL and/or NoSQL)

BasisPath, Inc.

Full Stack Developer

Dulles, VA · On-site

Demonstrated experience as a full stack developer, including frontend and backend development with technology stacks such as SpringBoot, Django, Flask, Angular, jQuery, or Reaact * Demonstrated ...

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Flask Developer information

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$16

$52

$81

How much do flask developer jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for flask developer in Virginia is $52.39, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $64.09 per hour, depending on experience, location, and employer.

What are Flask Developers?

Flask Developers are software professionals who specialize in building web applications using the Flask framework, a lightweight and flexible web framework for Python. Their responsibilities typically include designing, developing, testing, and deploying web applications, as well as integrating databases, APIs, and front-end technologies. Flask Developers often work on projects that require rapid prototyping, microservices, or minimalistic web solutions due to Flask's simplicity and modularity.

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

To thrive as a Flask Developer, you need strong proficiency in Python programming, web development fundamentals, and a solid understanding of the Flask microframework. Familiarity with tools like Git, RESTful APIs, SQL/NoSQL databases, and experience deploying applications using cloud services or containerization (e.g., Docker) are typically required. Effective problem-solving, attention to detail, and strong communication skills help developers collaborate efficiently and create robust, scalable solutions. These skills and qualities are essential for building secure, maintainable web applications that meet both technical and business requirements.

What is the difference between Flask Developer vs Django Developer?

AspectFlask DeveloperDjango Developer
Required CredentialsProficiency in Python, basic web development skillsProficiency in Python, web frameworks, and often more extensive experience
Work EnvironmentLightweight, flexible projects, microservicesFull-stack applications, larger projects, enterprise solutions
Industry UsageStartups, small to medium projectsLarge-scale applications, enterprise-level projects
Common Search/ComparisonYesYes

Flask Developers typically work on lightweight, flexible web applications and microservices, making them ideal for startups and small projects. Django Developers focus on full-stack, scalable applications suitable for larger, enterprise-level projects. Both roles require strong Python skills, but Django Developers often have additional experience with comprehensive web frameworks and database management.

What are the common challenges Flask Developers face when working on large-scale applications?

Flask Developers often encounter challenges related to scalability and maintainability when building large-scale applications, as Flask is a microframework that provides flexibility but requires careful planning of architecture. Managing complex codebases, integrating multiple extensions, and ensuring consistent coding standards across teams can be tricky. Effective communication and collaboration with front-end developers, DevOps, and QA teams are essential to maintain smooth workflows. Adopting best practices for project structure, modular code, and thorough documentation helps address these challenges and supports long-term project success.
What are the most commonly searched types of Flask Developer jobs in Virginia? The most popular types of Flask Developer jobs in Virginia are:
What are popular job titles related to Flask Developer jobs in Virginia? For Flask Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Flask Developer jobs in Virginia look for? The top searched job categories for Flask Developer jobs in Virginia are:
Flask Developer jobs near you
Infographic showing various Flask Developer job openings in Virginia as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $108,962 per year, or $52.4 per hour.

AI/ML Engineer

Interon IT Solutions

Reston, VA • On-site

Contractor

Posted 23 days ago

Job description

Job Title: AI/ML Engineer (Python, AWS, GenAI)
Location: Reston, VA (In-person interviews required)
Candidate Requirement: Local to East Coast only
 

Job Description

Client is seeking an AI/ML Engineer to design and deliver end-to-end AI/ML and Generative AI solutions in a cloud-native AWS environment. The ideal candidate will have strong Python engineering skills, experience deploying ML/GenAI workloads on AWS, and hands-on expertise building RAG pipelines and MLOps workflows.

Responsibilities

  • Design and implement end-to-end AI/ML and Generative AI solutions using Python, including training, evaluation, optimization, and deployment.

  • Build and maintain cloud-native applications on AWS using Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.

  • Develop scalable, high-performance Python microservices using FastAPI/Flask for data pipelines, real-time analytics, and model inference.

  • Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM-powered solutions (chatbots, summarization, semantic search, anomaly detection).

  • Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and Infrastructure-as-Code using Terraform/CloudFormation.

  • Build and support MLOps workflows: model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning.

Required Skills

  • Strong hands-on experience in Python development for AI/ML and GenAI solutions.

  • Proven experience working with AWS services for application and ML deployments.

  • Experience building APIs/microservices using FastAPI or Flask.

  • Hands-on experience with RAG, embeddings, and vector databases.

  • Experience with CI/CD and IaC (Terraform/CloudFormation).

  • Strong understanding of MLOps practices and production model monitoring.