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Ai Software Engineer Intern Jobs in Dothan, AL (NOW HIRING)

Our growth means exciting career opportunities for talented professionals in engineering, software ... Minimum 8 years of hands-on experience in AI/ML software development using Python and R. * Strong ...

... AI. • Establish and promote application development standards including code reviews ... developers, analysts, administrators, consultants, or application support professionals. • ...

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... AI. • Establish and promote application development standards including code reviews ... developers, analysts, administrators, consultants, or application support professionals. • ...

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Ai Software Engineer Intern information

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

As of Jul 30, 2026, the average hourly pay for ai software engineer intern in Dothan, AL is $23.11, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.20 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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Infographic showing various Ai Software Engineer Intern job openings in Dothan, AL as of June 2026, with employment types broken down into 19% Internship, 52% Full Time, 24% Part Time, and 5% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $48,060 per year, or $23.1 per hour.

AFSIM Software Engineer/Architect

John H. Northrop & Associates

Fort Novosel, AL • On-site

Full-time

Re-posted 13 days ago


Job description

Software Engineer/Architect – AFSIM Modeling & Simulation

Overview:

Aether Aerospace has an immediate opening for Software Engineer/Architect specializing in Modeling, Simulation and Analysis (MS&A) to support the Portfolio Acquisition Executive for Maneuver Air, U.S. Army Air Maneuver Battle Lab (AMBL) at Fort Rucker, AL. This role will directly support Army Aviation modernization initiatives by advancing the transition from legacy Modeling, Simulation and Analysis (MS&A) environment to a modernized integrated digital environment (IDE) including tools like the Air Force Synthetic Environment for Integrated Simulation (AFSIM). The selected candidate, working as part of a MS&A team, will help develop next-generation simulation capabilities as part of the IDE supporting Mission Engineering activities such as operational simulation, experimentation, concept development, mission analysis, and future aviation requirements.

The ideal candidate has strong software development skills, experience with Department of War Modeling & Simulation environments focused around AFSIM and enjoys solving complex engineering problems while working closely with Army engineers, operators, and capability developers.

Roles/Responsibilities:

  • Support Army Aviation modernization efforts through development and integration of advanced MS&A capabilities utilizing AFSIM as part of an integrated digital environment (IDE).
  • Assist Government engineers in transitioning legacy ATCOM models, data, and analytical workflows into AFSIM-based architectures.
  • Design, develop, test, and maintain software and hardware components as part of the IDE supporting mission-level simulations, operational analyses, and aviation experimentation.
  • Applying AI/ML and other algorithms, develop Modular Open Systems Approach (MOSA) compliant software modules, plugins and reusable simulation components within AFSIM and other tools. Ensure scalability of software and the IDE.
  • Collaborate within-house and external government engineers and subject matter experts to model Army Aviation platforms, sensors, weapons, communications, electronic warfare systems, threat environments, aircraft survivability and operational behaviors.
  • Support development of manned-unmanned teaming (MUM-T) and launched effects scenarios and emerging Army aviation operational concepts including implementation in the MS&A environment.
  • Participate in mission engineering and mission effectiveness analyses
  • Develop and maintain simulation scenarios supporting concept experimentation, mission analysis, and capability development.
  • Participate in software architecture, code reviews, configuration management, and Agile software development activities.
  • Integrate new capabilities into the new IDE MS&A environments while ensuring interoperability between Government-directed simulation tools.
  • Troubleshoot software and hardware issues, optimize simulation performance, and improve model fidelity.
  • Support verification, validation, accreditation, and configuration control activities for AFSIM and other simulation and analysis models and software components to attain and retain Authorization to Operate within the IDE.
  • Analyze simulation outputs and communicate technical findings through reports, presentations, and engineering documentation.
  • Collaborate with multidisciplinary teams including systems engineers and architects, software developers, information technology specialists, military analysts, aviators, and operational users.
  • Support prototype development, experimentation events, and technology demonstrations in support of Army Aviation capability development.
  • Maintain familiarity with emerging Army Aviation concepts, Future Vertical Lift (FVL) initiatives, and evolving operational requirements.

Required Qualifications:

  • Candidate must be a U.S. Citizen with an Active DoD Secret Clearance
  • Bachelor's degree in computer science, Software Engineering, Computer Engineering, or Operations Research technical fields.
  • Experience developing, integrating, or extending AFSIM or comparable military simulation frameworks.
  • Understanding of modular open systems approach software architecture, systems engineering principles, and simulation development lifecycle.
  • Experience developing software using C++, C#, or similar object-oriented programming languages in MOSA compliant applications
  • Experience supporting Modeling Simulation and Analysis software development within a Department of War or aerospace environment.

JHNA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.