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Internship Ai Programmer Jobs in Missouri (NOW HIRING)

Our partner is looking for a Software Engineer - AI-Assisted Full-Stack Development based in ... Practical software development experience gained through professional work, internships, academic ...

Data & AI Platform Engineer

Saint Louis, MO

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is an early-career engineering role focused on building, operating, and improving cloud data ... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ...

Software Engineer II

Fenton, MO · On-site

$92K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are building a cloud-native, AI-forward technology organization. The Software Engineer II ... internships, or professional experience. Nice to Have * Experience with IaC tooling, including the ...

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Showing results 1-20

Internship Ai Programmer information

What does an AI programmer intern do?

An AI Programmer Intern assists in developing, testing, and optimizing artificial intelligence algorithms and systems, often under the guidance of experienced engineers. Their tasks may include coding machine learning models, managing data sets, and helping integrate AI features into software products. This role provides hands-on experience in areas such as deep learning, natural language processing, or computer vision. Interns also collaborate with teams to solve real-world problems using AI and gain exposure to the latest technologies in the field.

What types of projects and tasks can an AI programmer intern expect to work on during their internship?

As an AI Programmer Intern, you can expect to contribute to a variety of projects, ranging from building and testing machine learning models to supporting data preprocessing and algorithm optimization. Interns often assist with coding in languages like Python or C++, analyzing datasets, and collaborating with senior engineers to integrate AI features into applications. The role typically involves regular meetings with cross-functional teams, which helps interns gain exposure to the broader development process and learn best practices in AI programming. This hands-on experience is invaluable for building technical skills and understanding real-world AI development cycles.

What are the key skills and qualifications needed to thrive as an AI programmer intern, and why are they important?

To succeed as an Internship AI Programmer, you need a solid grasp of programming languages such as Python or Java, basic knowledge of machine learning concepts, and enrollment in or completion of a related degree (e.g., computer science, data science). Familiarity with frameworks like TensorFlow or PyTorch and version control systems such as Git is highly valuable. Curiosity, problem-solving ability, and willingness to learn help interns adapt quickly and contribute effectively in fast-paced environments. These skills and qualities ensure interns can support real-world AI projects, grow their expertise, and add value to their teams.

What is the difference between Internship Ai Programmer vs Data Analyst Intern?

AspectInternship Ai ProgrammerData Analyst Intern
Required SkillsProgramming, AI/ML concepts, Python, TensorFlowData analysis, SQL, Excel, statistical skills
Work EnvironmentTech companies, AI research labs, startupsBusiness, finance, marketing departments
Industry UsageArtificial Intelligence, Machine Learning, Software DevelopmentBusiness Intelligence, Data Management, Reporting

Internship Ai Programmers focus on developing AI models and algorithms, requiring programming and machine learning skills. Data Analyst Interns analyze data sets to generate insights, emphasizing statistical and data management skills. Both roles are common in tech-driven industries but serve different functions within data and AI projects.

Infographic showing various Internship Ai Programmer job openings in Missouri as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Software Engineer - AI-Assisted Full-Stack Developement

Jobgether

On-site, Remote

Full-time

Posted 14 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer - AI-Assisted Full-Stack Development based in Netherlands.

This role offers the opportunity to build modern software solutions while leveraging AI-assisted development tools to accelerate engineering workflows.
You will contribute to the design, development, testing, and deployment of scalable full-stack applications.
The position combines backend engineering, frontend development, cloud technologies, automation, and AI-powered coding practices.
You will work in a remote, agile environment alongside engineers, product teams, QA specialists, and data professionals.
By combining strong engineering principles with emerging AI capabilities, you will help deliver reliable and maintainable digital solutions.
This is an excellent opportunity for both experienced engineers and talented developers looking to grow in a forward-thinking technology environment.

Accountabilities

The Software Engineer - AI-Assisted Full-Stack Development will be responsible for designing, developing, and maintaining reliable software solutions while using AI-assisted tools to improve productivity, quality, and engineering efficiency.

  • Design, develop, test, deploy, and maintain scalable web applications using technologies such as Python, FastAPI, React, JavaScript, TypeScript, and Node.js.
  • Build and maintain REST or GraphQL APIs, including authentication, authorization, validation, schemas, resolvers, and error handling.
  • Use AI coding agents such as Claude Code or similar tools to accelerate development while ensuring code quality, security, maintainability, and test coverage.
  • Work with SQL and NoSQL databases, including data modeling, migrations, query optimization, and performance troubleshooting.
  • Implement asynchronous processing solutions using message queues such as RabbitMQ.
  • Investigate and resolve production issues, complex bugs, and performance bottlenecks.
  • Create and maintain technical documentation covering APIs, system behavior, and implementation decisions.
  • Develop and maintain automated tests, including unit, integration, API, and end-to-end testing.
  • Validate AI-generated code through testing, security reviews, performance analysis, and engineering best practices.
  • Participate in code reviews and contribute to consistent quality standards across development processes.
  • Support CI/CD workflows using tools such as GitHub Actions or similar platforms.
  • Contribute to application deployment and maintenance within cloud environments such as AWS, Azure, GCP, or DigitalOcean.
  • Work with infrastructure concepts including containers, environment configuration, secrets management, networking, and deployment pipelines.
  • Monitor applications using logging, observability, error tracking, and performance tools such as Grafana and Sentry.
  • Collaborate within Agile Scrum teams, participating in planning, refinement sessions, stand-ups, reviews, and retrospectives.
Requirements

The ideal candidate is a software engineer with strong full-stack development foundations, curiosity for AI-assisted engineering, and the ability to deliver reliable solutions in a remote environment.

  • Practical software development experience gained through professional work, internships, academic projects, open-source contributions, or strong technical portfolios.
  • Experience using AI coding assistants or similar AI development tools to build, debug, test, or maintain software.
  • Strong proficiency in Python and experience with FastAPI or similar Python web frameworks.
  • Experience developing frontend applications using React and JavaScript or TypeScript.
  • Experience building backend services using Python, Node.js, or both.
  • Understanding of REST or GraphQL API design principles.
  • Experience writing unit and integration tests and applying testing practices throughout development cycles.
  • Knowledge of relational databases and SQL.
  • Familiarity with Git, GitHub, pull requests, and code review workflows.
  • Understanding of software engineering principles including modularity, maintainability, security, and separation of concerns.
  • Strong analytical thinking, problem-solving abilities, and communication skills.
  • Ability to work independently and effectively in a remote environment.
  • Professional working proficiency in English.
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field is preferred, though equivalent practical experience and strong portfolios are also considered.

Nice-to-have skills:

  • Experience designing GraphQL schemas, queries, mutations, subscriptions, and resolvers.
  • Familiarity with GraphQL libraries such as Strawberry, Graphene, Ariadne, Apollo, or similar technologies.
  • Experience with Playwright or other end-to-end testing frameworks.
  • Knowledge of CI/CD platforms such as GitHub Actions, GitLab CI, or Jenkins.
  • Experience deploying applications on cloud platforms such as DigitalOcean, AWS, Azure, or GCP.
  • Familiarity with Docker and container-based deployments.
  • Experience with observability and production support tools.
  • Experience with message queues such as RabbitMQ, Kafka, or Redis.
  • Experience integrating AI or machine learning capabilities into production applications.
  • Knowledge of authentication, role-based access control, API security, secrets management, and data protection practices.
  • Experience working in Agile Scrum product development environments.
Benefits
  • Fully remote work opportunity within the United Kingdom or compatible EU time zones.
  • Flexible remote-first working environment.
  • Opportunity to work with modern AI-assisted development practices.
  • Exposure to full software development lifecycle activities, from design to production support.
  • Collaboration with international engineering and product teams.
  • Opportunity to work with modern cloud technologies and scalable architectures.
  • Continuous learning environment focused on innovation and technical growth.
  • Contractor FTE engagement model.
  • Opportunity to contribute to impactful software solutions using emerging technologies.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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