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Ai Software Engineer Intern Jobs in Baltimore, MD

Phase2 Technology

AI Software Engineer, Senior

Laurel, MD · On-site

$86.80 - $198/hr

AI Software Engineer, Senior The Opportunity As an AI software engineer, you know that good software is more than just a nice-looking interface and data. Today, you need to develop user-focused ...

Booz Allen Hamilton

AI Software Engineer, Senior

Laurel, MD · On-site

$122K - $160K/yr

Booz Allen Hamilton is a leading provider of AI services to the nation, seeking a Senior AI Software Engineer to create solutions that enhance national security through artificial intelligence and ...

Booz Allen Hamilton

AI Software Engineer, Senior

Laurel, MD · On-site

$122K - $160K/yr

Booz Allen Hamilton is a leading provider of AI services to the nation, seeking a Senior AI Software Engineer to create artificial intelligence and machine learning solutions that address national ...

NetSage

AI Software Engineer-Principal

Annapolis Junction, MD · On-site

$148K - $198K/yr

We are seeking a Principal Artificial Intelligence (AI) Software Engineer to design and deliver advanced artificial intelligence and machine learning (AI/ML) solutions that enhance intelligence ...

NetSage

AI Software Engineer-Principal

Annapolis, MD · On-site

$133K - $179K/yr

We are seeking a Principal Artificial Intelligence (AI) Software Engineer to design and deliver advanced artificial intelligence and machine learning (AI/ML) solutions that enhance intelligence ...

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All JobsAi Software Engineer Intern JobsAi Software Engineer Intern Jobs in Baltimore, MD

Ai Software Engineer Intern information

See Baltimore, MD salary details

$13

$25

$38

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

As of Sep 6, 2026, the average hourly pay for ai software engineer intern in Baltimore, MD is $25.25, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $28.65 per hour, depending on experience, location, and employer.

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 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 are popular job titles related to Ai Software Engineer Intern jobs in Baltimore, MD?

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Ai Software Engineer Intern jobs near you
Infographic showing various Ai Software Engineer Intern job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $52,530 per year, or $25.3 per hour.

AI Software Engineer

SECURE RPO LLC

Fort George G Meade, MD • On-site

Other

Posted 10 days ago

Job description

Software Engineer – AI-Driven Automation & Reverse EngineeringJob Type

Remote / Hybrid

Preferred Locations

Washington, DC metropolitan area or Lexington, MA

Remote candidates located outside these areas will also be considered.

All candidates should be able to travel to Ft. Meade or Lexington, MA approximately 2 times per month for 4 days. Candidates are expected to be able to work Eastern timezone hours.

Experience

3+ years

Clearance

Interim sufficient to start, but ideally TS//SCI eligible as it will open up additional opportunities.

Education
  • Bachelor's Degree
  • BS or BA in Computer Science or a related field
Position Overview

The client is looking for a Software Engineer to join our team. In this role, you will need to have software development skills, security analysis skills, artificial intelligence experience, automation and orchestration skills, and the ability to adapt to the needs of a growing and evolving team.

You’ll need to be flexible, motivated, and able to quickly learn new technologies to meet requirements. Candidates will need to be able to work in a fast-paced and challenging environment. They must also possess a love for technical challenges, a desire to constantly learn, and be able to establish themselves as a critical player within a team.

Role Overview

We are seeking a skilled software engineer to advance the development and deployment of AI-driven automation frameworks for aiding the reverse engineering of complex Linux-based embedded systems across diverse operational environments.

In this role, you will design and implement intelligent emulation solutions leveraging LLM-powered agents to automate configuration analysis, dependency mapping, and environment adaptation. You will focus on reducing manual overhead while ensuring system compatibility and operational reliability throughout the reverse engineering lifecycle.

Required SkillsSoftware Development & Programming
  • Software/Algorithm Development – 3 years
  • Programming – 3 years
  • C/C++ Programming – 3 years
  • C++11 or later, Standard Template Library (STL), Boost library – 3 years
  • Java Development – 3 years
  • JavaScript Development – 3 years
  • Python – 3 years
  • Object-Oriented Software Design and Development – 3 years
  • Software Design/Development – 3 years
  • XML and SQL – 3 years
Program Analysis & Reverse Engineering
  • Emulation – 3 years
  • Ghidra or IDA – 3 years
  • Automated program analysis
  • Vulnerability research
  • Systems programming
Linux & Systems
  • Linux command line – 3 years
  • Linux internals – 3 years
  • Hardware and Software Integration – 3 years
  • Familiarity with constrained environments
  • Air-gapped deployment
  • Local execution optimization
Software Tools & Development Environment
  • GIT/GITHUB – 3 years
  • Git workflows – 3 years
  • Maven or Gradle – 3 years
  • Git / GitLab – 3 years
  • Make / Autotools – 3 years
  • Docker / Containerization – 3 years
  • CI/CD pipelines – 3 years
Frameworks
  • MVC frameworks, including Struts, Spring MVC, or Play – 3 years
Additional Experience
  • Program/Project Management OR Analysis – 3 years
  • Software Documentation – 3 years
  • Experience leveraging LLMs and building autonomous AI agents
  • Effective teamwork
  • Ability to deliver high-quality analyses under tight timelines
  • Initiative to deliver not just what is requested but what is truly needed
Nice to Have
  • Air-Gapped Networks
  • Rust experience
  • Go experience
  • Cross-compilation/tool chain customization
Work Location

This is a Hybrid position. Candidates in the Washington, DC metropolitan area or Lexington area are highly preferred due to the need to complete classified work. However, qualified remote candidates located outside the area will also be considered.

All candidates should be able to travel to Ft. Meade or Lexington, MA approximately 2 times per month for 4 days. Candidates are expected to be able to work Eastern timezone hours.

Interview Process
  • 1st round interview: Zoom with the hiring manager
  • 2nd round interview: Zoom with additional team members as needed

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