What are the responsibilities and job description for the Artifical Intelligence Engineer Intern position at V2X Brand?
V2X in Indianapolis, IN, has Software Engineering Intern opportunities for current engineering college students. As a AI Engineering Intern, you will work within a team of talented and experienced engineers and be exposed to AI Engineering by performing many core activities to include integration, development or test of AI systems. The AI intern will apply technical standards, principles, theories, concepts, and techniques to solve customer needs by providing customized engineering services and products for unique customer missions.
Responsibilities Include:
- Learn foundational AI engineering practices, including documenting model experiments, prompt iterations, and system behaviors.
- Support AI development tasks such as testing prompts, preparing datasets, and evaluating model outputs across platforms like Azure, Google Cloud, and Bedrock.
- Assist with integrating AI services and endpoints (e.g., Azure Endpoints, Vertex AI, ChatGPT, Gemini, Claude) into applications under team guidance.
- Contribute to multi‑disciplinary project work involving AI engineering, data engineering, product, and UX teams.
- Follow established AI engineering processes, learning best practices for cloud environments, security, and responsible AI development.
Security Clearance & Other Requirements: This position requires the ability to access systems that contain information restricted to US Citizens based on certain Federal Government contractual requirements.
Required Skills:
- Positive attitude and proven leadership skills
- Customer focus and ability to collaborate
- Excellent written and verbal communication skills
- AI, Software Engineering or related course work
- Understanding of core computer science concepts including data structures, algorithms, and object‑oriented programming.
- Proficiency in at least one programming language commonly used in AI/ML (Python preferred; familiarity with JavaScript, Java, or Go is a plus).
- Basic understanding of machine learning concepts such as model training, evaluation, supervised vs. unsupervised learning, and vector embeddings.
- Introductory experience with cloud platforms such as Azure Cloud or Google Cloud Platform.
- Awareness of major AI platforms and model providers including Vertex AI, Gemini, ChatGPT, Claude, and AWS Bedrock.
- Understanding of UI/UX fundamentals and how AI features integrate into user‑facing applications.
- Ability to collaborate with designers and product teams to translate requirements into technical tasks.
- Strong analytical thinking and willingness to learn complex systems.
- Ability to communicate technical concepts clearly to both technical and non‑technical audiences.
Self‑starter attitude with curiosity about emerging AI technologies and industry trends.
Desired Skills:
- Cloud & Platform Experience
- Microsoft Azure (Azure Cloud, Azure App Service, Azure Endpoints)
- Google Cloud Platform (GCP), including Vertex AI, BigQuery, Assured Workloads
- AWS Bedrock
- Elastic Cloud
- AI / ML Models & Framework Experience
- OpenAI (ChatGPT)
- Google Gemini
- Anthropic Claude & Claude Code
- NotebookLM
- Agentic and Agentic Frameworks
- AI Foundry
- Antigravity
- Looper
- Flows
Education Requirements:
- Candidate must be enrolled in an accredited college or university, pursing a technical degree in Engineering (Computer Science, Computer Engineering, Aeronautical, orSTEM field
- Must have obtained Sophomore, Junior, Senior or Post graduate status as of Spring 2026. The level will be based on the candidate’s qualifications, including degree credits earned
- A cumulative GPA of 3.0 is strongly desired
Please include your transcript with your resume