Summer 2027 AI Full Stack Developer Consulting Intern

About the Role

Elire is seeking an AI Full Stack Developer Consulting Intern for Summer 2027. This paid, full-time internship (10-12 weeks, June 1 - August 21, 2027) offers advanced graduate students hands-on exposure to applied AI in a real consulting environment. The role emphasizes practical problem-solving, sound technical judgment, and developing usable solutions. The intern will focus on building and reviewing software in an AI-enabled development environment, assessing AI-assisted code for quality and fit for purpose.

Key Responsibilities

• Develop, review, test, debug, and improve code for Elire AI prototypes, tools, integrations, and internal solutions.
• Review AI-generated or AI-assisted code for correctness, maintainability, performance, security, and adherence to development standards.
• Build or support scripts, services, APIs, automations, and proof-of-value applications using appropriate programming languages and frameworks.
• Work with Git-based source control, branching, pull requests, code review, and version-management practices.
• Support CI/CD workflows and help automate build, test, deployment, and validation processes.
• Apply GitOps and DevOps concepts to enhance repeatability, traceability, and reliability of software delivery.
• Troubleshoot technical issues, evaluate alternative solutions, and explain implementation decisions.
• Document code, workflows, testing results, and technical recommendations; collaborate with Elire AI and technical leaders.
• Present a final project.

Requirements & Tech Stack

• Currently pursuing an Undergraduate, Master's, or PhD in Computer Science, Information Technology, Cybersecurity, Network Engineering, Cloud Computing, Engineering, or a closely related technical field.
• Strong understanding of networking fundamentals (IP addressing, subnets, routing, DNS, connectivity, network security).
• Hands-on knowledge of virtual cloud networking / VCN concepts and cloud infrastructure.
• Experience with Kubernetes (K8s), RKE2, or comparable container-orchestration technologies.
• Understanding of cluster deployment, scaling, availability, and troubleshooting concepts.
• Strong critical thinking and problem-solving skills.
• Ability to document architectures, configurations, issues, and technical decisions clearly.

Preferred Qualifications

• Hands-on exposure to CI/CD platforms, GitOps workflows, DevOps tooling, or infrastructure-as-code practices.
• Experience with containers, Docker, Kubernetes, or cloud-native application development.
• Exposure to generative AI APIs, coding copilots, LLM-based development workflows, or agentic development tools.
• Exposure to cloud platforms such as Oracle Cloud, AWS, Azure, or GCP.
• Prior research, internship, open-source, or project experience building production-oriented software or AI-enabled applications.

Additional Details

• Location: Minneapolis, MN (Hybrid, based in MN for summer).
• Internship can be extended; remote work may be considered.