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Internship Full Stack Python Developer Jobs in Virginia

Government contractor is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio. You will develop ...

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Government contractor is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio. You will develop ...

They are looking for a passionate Python Full Stack Developer to join their team, responsible for developing and implementing high-quality software solutions and collaborating with cross-functional ...

Recruiting for a Full Stack Developer with Python experience to join our team in our Ashburn VA facility. This is a flexible onsite position. Must be able to report to the office as required.

Full Stack Developer

Arlington, VA · On-site

$150K - $200K/yr

Join our engineering team as a Full Stack Developer building applications that power AI-driven ... You'll work across the stack with focus on Python backend and modern frontend technologies in a ...

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Internship Full Stack Python Developer information

What does an internship full stack Python developer do?

An Internship Full Stack Python Developer assists in building both the front-end and back-end components of web applications using Python and related technologies. Interns typically work under the supervision of senior developers to learn and contribute to tasks such as designing APIs, managing databases, and creating user interfaces. They gain hands-on experience with frameworks like Django or Flask, and may also work with front-end tools like HTML, CSS, and JavaScript. This role is ideal for students or recent graduates looking to develop practical programming and problem-solving skills in a real-world environment.

What types of projects and technologies can I expect to work with as an internship full stack Python developer?

As an Internship Full Stack Python Developer, you can typically expect to work on web applications that utilize both front-end and back-end technologies. On the back-end, you'll likely use Python frameworks such as Django or Flask, while on the front-end, you may gain experience with JavaScript frameworks like React or Angular. Interns often collaborate closely with other developers, designers, and sometimes product managers, participating in daily stand-ups and code reviews. The projects you work on are usually designed to help you build practical skills in both server-side and client-side development, with mentorship from experienced team members.

What are the key skills and qualifications needed to thrive as an internship full stack Python developer, and why are they important?

To thrive as an Internship Full Stack Python Developer, you need a solid understanding of Python programming, familiarity with web frameworks like Django or Flask, and basic knowledge of front-end technologies such as HTML, CSS, and JavaScript. Experience with version control systems like Git and exposure to databases (SQL or NoSQL) are typically required, and completion of relevant coursework or certifications can be advantageous. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns collaborate and adapt in dynamic team environments. These competencies enable interns to contribute meaningfully to projects, bridge back-end and front-end development, and grow quickly in a professional setting.

What is the difference between Internship Full Stack Python Developer vs Junior Full Stack Python Developer?

AspectInternship Full Stack Python DeveloperJunior Full Stack Python Developer
Required CredentialsLimited or no formal experience, often pursuing or recently completed relevant educationTypically has completed relevant education or training, some work experience preferred
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time employment, more independent responsibilities
Employer & Industry UsageInternship roles in tech companies, startups, or educational programsFull-time roles in tech firms, startups, and software development companies

In summary, an Internship Full Stack Python Developer is an entry-level position aimed at gaining practical experience, often with supervision, while a Junior Full Stack Python Developer is a more experienced role with greater responsibilities and independence in software development projects.

What are the most commonly searched types of Full Stack Python Developer jobs in Virginia?

The most popular types of Full Stack Python Developer jobs in Virginia are:

What are popular job titles related to Internship Full Stack Python Developer jobs in Virginia?

For Internship Full Stack Python Developer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Internship Full Stack Python Developer jobs in Virginia look for?

The top searched job categories for Internship Full Stack Python Developer jobs in Virginia are:

What cities in Virginia are hiring for Internship Full Stack Python Developer jobs?

Cities in Virginia with the most Internship Full Stack Python Developer job openings:

Infographic showing various Internship Full Stack Python Developer job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Full Stack Python Developer

NSS

Herndon, VA • On-site

$120 - $160/hr

Other

Posted yesterday

New


Job description

What You’ll Do:
Government contractor is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio.
You will develop secure, cloud-native web services and UI experiences that integrate with LLM/RAG and semantic search pipelines. Thisrole partners closely with ML engineers and data teams to productionize models through robust APIs, workflows, and operational tooling. You will help deliver mission-ready solutions that handle large-scale datasets with strong performance, reliability, and traceability.
The ideal candidate thrives in fast-paced environments and enjoys building end-to-end systems that make AI usable for real users.

Responsibilities will include but are not limited to:
  • Support CI/CD and DevOps practices (containerization, deployment automation, monitoring/alerting) to ensure stable releases and operational readiness.
  • Apply best practices for security, logging, auditing, and compliance aligned with federal/DoD standards across services and environments.
  • Design and develop Python backend services and REST APIs (e.g., Flask/FastAPI) to expose AI/ML and search capabilities to applications and mission systems.
  • Build full stack features (UI + API) that support search workflows, semantic retrieval, and results visualization for enterprise users.
  • Integrate backend services with Databricks/Spark pipelines and ML workflows to enable scalable inference, data processing, and batch/stream execution.
  • Implement and maintain integrations with Elasticsearch (search/indexing) and Neo4j (graph/relationship-driven experiences) to enhance relevance and discovery.
  • Collaborate with ML Engineers to productionize LLM/RAG-based features, including prompt/inference orchestration, embeddings services, and retrieval workflows.
  • Create clear technical documentation and communicate design decisions, trade-offs, and implementation approaches to both technical and non-technical stakeholders.

What You’ll Do:
Government contractor is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio.
You will develop secure, cloud-native web services and UI experiences that integrate with LLM/RAG and semantic search pipelines. Thisrole partners closely with ML engineers and data teams to productionize models through robust APIs, workflows, and operational tooling. You will help deliver mission-ready solutions that handle large-scale datasets with strong performance, reliability, and traceability.
The ideal candidate thrives in fast-paced environments and enjoys building end-to-end systems that make AI usable for real users.

Responsibilities will include but are not limited to:
  • Support CI/CD and DevOps practices (containerization, deployment automation, monitoring/alerting) to ensure stable releases and operational readiness.
  • Apply best practices for security, logging, auditing, and compliance aligned with federal/DoD standards across services and environments.
  • Design and develop Python backend services and REST APIs (e.g., Flask/FastAPI) to expose AI/ML and search capabilities to applications and mission systems.
  • Build full stack features (UI + API) that support search workflows, semantic retrieval, and results visualization for enterprise users.
  • Integrate backend services with Databricks/Spark pipelines and ML workflows to enable scalable inference, data processing, and batch/stream execution.
  • Implement and maintain integrations with Elasticsearch (search/indexing) and Neo4j (graph/relationship-driven experiences) to enhance relevance and discovery.
  • Collaborate with ML Engineers to productionize LLM/RAG-based features, including prompt/inference orchestration, embeddings services, and retrieval workflows.
  • Create clear technical documentation and communicate design decisions, trade-offs, and implementation approaches to both technical and non-technical stakeholders.
What You’ll Need:
  • Bachelor’s degree (or equivalent experience) with 5+ years in software engineering focused on Python and web application development.
  • Must have: Strong hands-on experience building Python APIs/services (Flask/FastAPI preferred) and integrating with databases, search platforms, and external systems.
  • Experience developing full stack applications using modern front-end frameworks (React/Angular/Vue) plus strong API design skills.
  • Familiarity with AI/ML concepts and integrations (LLMs, embeddings, semantic search, RAG workflows) and working closely with data/ML teams.
  • Must have: Working experience with cloud-native delivery (Docker/Kubernetes), CI/CD, Git-based workflows, and performance/reliability best practices; Databricks/Spark experience required.
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About NSS

Sourced by ZipRecruiter

NSS RPO was founded by Jessica Nicholson and Conor Nicholson in 2009. They saw the need for a nice services company that valued their employees by putting them first. With Jessica’s organizational skills and strategy along with Conor’s network, the company employed 25 contract recruiters in less than a year and proceeded to make the Inc. 5000 as one of the fastest growing companies in America, three years in a row. Since its inception, NSS RPO has hired hundreds of recruiters in over 30 states. NSS RPO is proud to include among its clients eight of the ten largest government contractors, the world's largest job board, entertainment company and one of the nation’s largest banks. NSS RPO is your trusted provider of Recruitment Process Outsourcing (RPO) solutions. Founded by an experienced recruiter and solely focused on RPO, NSS RPO offers a strong network of exceptional recruiters and customizable staffing solutions. Named to Washington Business Journal’s prestigious list of Top 25 Staffing Agencies seven years in a row, NSS RPO is known for its quality, agility, and expertise. If you have a recruitment staffing need at your organization, NSS RPO can customize a solution for you, no matter how big or small.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Herndon, VA, US

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