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

Whitespace

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

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 ...

Leidos

AI Software Engineer Lead

Chantilly, 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 ...

Whitespace

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?

Booz Allen Hamilton

AI Software Engineer, Lead

Mclean, VA · On-site

$86K - $198K/yr

AI Software Engineer, Lead The Opportunity: Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in national defense? You understand your ...

Leidos

AI Software Developer

Gaithersburg, MD · On-site

Leidos is seeking an AI Software Developer to join the Air Traffic Business Area within the Homeland Sector , supporting the development of the Leidos Common Baseline . Common Baseline is a mission ...

Leidos

AI Software Developer

Gaithersburg, MD · Hybrid

Leidos is seeking an AI Software Developer to join the Air Traffic Business Area within the Homeland Sector , supporting the development of the Leidos Common Baseline . Common Baseline is a mission ...

Leidos

AI Software Developer

Gaithersburg, MD · Hybrid

... engineering and AI-augmented software development practices. You'll work on software that directly supports national air traffic operations, applying AI tools to accelerate development, improve ...

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

Ai Software Engineer Intern information

See Reston, VA salary details

$14

$26

$40

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

As of Aug 5, 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.
What are popular job titles related to Ai Software Engineer Intern jobs in Reston, VA? For Ai Software Engineer Intern jobs in Reston, VA, the most frequently searched job titles are:
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Ai Software Engineer Intern jobs near you
Infographic showing various Ai Software Engineer Intern job openings in Reston, VA as of June 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $55,000 per year, or $26.4 per hour.

Senior AI Software Engineer (Generative AI / AWS Bedrock)

WorkNovas LLC

Reston, VA • On-site

$127K - $168K/yr

Contractor

Re-posted 15 days ago

Job description

F2F interviewSenior AI Software Engineer (Generative AI / AWS Bedrock)

Reston, VA, 3 days onsite

Description:

• 6+ years software engineering experience

• 3+ years building AI/ML-powered applications

• Experience deploying AI systems into production

Python Programming is must 

About the Role

We are seeking a Senior AI Software Engineer to design and build production-grade AI applications powered by large language models and foundation models. In this role, you will develop scalable commercial solutions using AWS Bedrock and other AI model providers, integrating advanced AI capabilities into real-world products and platforms.

You will work at the intersection of AI engineering, cloud architecture, and product development, building intelligent systems that leverage multiple foundation models for reasoning, automation, and data-driven insights.

This is a hands-on role for engineers passionate about transforming cutting-edge AI capabilities into robust, scalable commercial applications.

What You’ll Do

Technology Stack and AI/LLM Programming Expertise

• Hands-on experience with LLM APIs or foundation models

• Experience building:

o RAG systems

o AI copilots

o conversational agents

o automated workflows

o AI-driven analytics

o document AI solutions

• Python

• Java / TypeScript / Go (any backend language)

• Design and develop production AI applications using models available via AWS Bedrock and external providers

o AWS Bedrock

§ Anthropic Claude

§ Amazon Titan

§ Meta Llama

§ Cohere

§ OpenAI

o OpenAI

o Open-source LLMs

o S3, API Gateway, Step Functions, Lambda / ECS / EKS, Docker / Kubernetes

o FastAPI

o Terraform

Create pipelines for:

o embeddings

o document ingestion

o knowledge indexing

o model evaluation

• Vector databases (pg-vector, S3-vector, OpenSearch, FAISS)

• Embeddings and semantic search

• Prompt engineering

• Tracing, hallucination detection, cost monitoring, prompt performance, drift detection

• Model evaluation frameworks

• Experience with LangChain, LangGraph, LlamaIndex, or AI orchestration frameworks

• LLM Monitoring and Observability

• Experience with multi-model routing systems

• Experience building AI agents or tool-using LLMs

• Knowledge of AI safety, guardrails, and prompt management

• Experience deploying models with Docker and Kubernetes

• MCP, FastMCP

• Reinforcement Learning

• AWS SageMaker with MLOPs

• Experience with Bedrock API [Like from Lambda or Other services]

• Design high-performance AI APIs and microservices

• Optimize latency, reliability, and cost of model inference

• Implement evaluation pipelines and monitoring for AI systems

What We’re Looking For

The ideal candidate:

• Thinks like a systems architect and builder

• Has shipped real AI products to production

• Understands tradeoffs between models

• Can design robust AI pipelines

• Is comfortable working with rapidly evolving AI technologies

Example Problems You’ll Work On

• Build an enterprise knowledge assistant using Bedrock

• Create AI agents that automate complex workflows

• Develop document intelligence pipelines for financial or operational data

• Design multi-model orchestration frameworks

• Optimize LLM cost, latency, and reliability