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Ai Software Engineer Intern Jobs in Reston, VA (NOW HIRING)

Credence

Mid-Level AI Software Engineer

Mclean, VA · On-site

$115K - $155K/yr

AI Software Engineer * Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows. Collaborative Engineering * Work ...

Booz Allen Hamilton

AI Software Engineer

Arlington, VA · On-site

$86K - $198K/yr

R0230233 AI Software Engineer The Opportunity: As an artificial intelligence (AI) sof tware engineer, you know that good sof tware is more than just a nice-looking interface and data. Today, you need ...

Credence

Mid-Level AI Software Engineer

Mclean, VA · On-site

$115K - $155K/yr

AI Software Engineer * Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows. Collaborative Engineering * Work ...

Lockheed Martin

AI Software Engineer

Manassas, VA · On-site

The Work Lockheed Martin Rotary & Mission Systems is seeking a full-time AI Software Engineer where you will be challenged to use your skills in a high-paced / high-visibility team environment. Why ...

GeoDelphi

AI Software Developer

Alexandria, VA · Remote

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand?

GeoDelphi

AI Software Developer

Alexandria, VA · On-site +1

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand?

Leidos

AI Software Engineer Lead

Chantilly, VA

$107K - $195K/yr

The FS2 Sea task order teams are involved in the deployment and maintenance of multiple operational cloud deployed software technologies and solutions. We are looking for a motivated AI engineer to ...

Leidos

AI Software Engineer Lead

Chantilly, VA · On-site

$107K - $195K/yr

Optomize and enhance customer experiences, enhancing software development flows, quality metrics, KPIs, and Dashboards with AI. * Provides broad-based experience in the systems engineering lifecycle ...

Leidos

AI Software Engineer Lead

Manassas, VA · On-site

$107K - $195K/yr

Optomize and enhance customer experiences, enhancing software development flows, quality metrics, KPIs, and Dashboards with AI. * Provides broad-based experience in the systems engineering lifecycle ...

Leidos

AI Software Engineer Lead

Herndon, VA · On-site

$107K - $195K/yr

Optomize and enhance customer experiences, enhancing software development flows, quality metrics, KPIs, and Dashboards with AI. * Provides broad-based experience in the systems engineering lifecycle ...

Leidos

AI Software Engineer Lead

Sterling, VA · On-site

$107K - $195K/yr

Optomize and enhance customer experiences, enhancing software development flows, quality metrics, KPIs, and Dashboards with AI. * Provides broad-based experience in the systems engineering lifecycle ...

Leidos

AI Software Engineer Lead

Gaithersburg, MD

$107K - $195K/yr

The FS2 Sea task order teams are involved in the deployment and maintenance of multiple operational cloud deployed software technologies and solutions. We are looking for a motivated AI engineer to ...

Leidos

AI Software Engineer Lead

Alexandria, VA · On-site

$107K - $195K/yr

The FS2 Sea task order teams are involved in the deployment and maintenance of multiple operational cloud deployed software technologies and solutions. We are looking for a motivated AI engineer to ...

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All JobsAi Software Engineer Intern JobsAi Software Engineer Intern Jobs in Reston, VA

Ai Software Engineer Intern information

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How much do ai software engineer intern jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for ai software engineer intern in Reston, VA is $26.44, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $30.00 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Software Engineer Intern, and why are they important?

To thrive as an AI Software Engineer Intern, you typically need a solid background in computer science fundamentals, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by progress toward a relevant degree. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and experience with data analysis tools are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication set outstanding interns apart in collaborative and fast-paced environments. These skills and qualities are crucial for contributing meaningfully to AI projects and adapting to new technologies and challenges.

What does an AI Software Engineer Intern do?

An AI Software Engineer Intern assists in designing, developing, and testing artificial intelligence models and applications under the guidance of experienced engineers. Their responsibilities may include data preprocessing, implementing machine learning algorithms, coding in languages like Python, and collaborating with team members on AI projects. Interns also help optimize existing AI systems, conduct research, and document their work. The role provides practical experience and exposure to real-world problems in AI and software engineering.

What types of projects can an AI Software Engineer Intern expect to work on during their internship?

As an AI Software Engineer Intern, you will likely contribute to real-world projects such as developing machine learning models, preprocessing data, or supporting the integration of AI solutions into existing products. Interns often collaborate with senior engineers and data scientists, participating in code reviews and brainstorming sessions. You may also be involved in evaluating model performance, optimizing algorithms, or automating tasks using AI tools, giving you hands-on experience with both the technical and collaborative aspects of the role.
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Ai Software Engineer Intern jobs near you
Mid-Level AI Software Engineer

Mid-Level AI Software Engineer

Credence

Mclean, VA • On-site

$115K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Overview
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.
We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.
Position Summary
Credence has an immediate need for a Mid-Level AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply foundational AI skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.
Responsibilities include, but are not limited to the duties listed below
Generative AI & LLM Usage
  • Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered capabilities.

Agentic AI System Development
  • Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis, and ambient background agents.

AI Software Engineer
  • Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows.

Collaborative Engineering
  • Work alongside data engineers, software engineers, and data scientists to develop operational agent AI systems.

Cloud Enablement
  • Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.

Production Monitoring & Optimization
  • Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.

Technical Rigor & Documentation
  • Write clean, well-documented code following industry and federal guidelines; support reproducible development.

Professional Growth
  • Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews.

Requirements
  • U.S. Citizenship with eligibility for DoD Secret clearance.
  • Bachelor's or Master's in Computer Science, AI/ML, or a related field.
  • 3-5 years of hands-on experience delivering AI/ML solutions.
  • Experience in generative AI, working with LLMs, and adding tool calls (MCP)
  • Experience with agentic frameworks such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore.
  • Deep understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex
  • Proficiency in Typescript familiarity with key libraries and frameworks (Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, Vite)
  • Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).
  • Experience deploying applications using cloud platforms (AWS) and container tools (Docker, Kubernetes).
  • Familiarity with CI/CD pipelines (GitLab CI)
  • Experience with VS Code and AI extensions such as Cline and Claude Code.
  • Strong communication skills and client-oriented mindset.

Preferred
  • Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact.
  • Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem.
  • Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications.
  • Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.

Why This Role Matters
  • Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being.
  • Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices.
  • Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success.

Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.
Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources

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