ZipRecruiter

Log In

1

Artificial Intelligence Engineer Intern Jobs in Missouri

duvari group

AI Engineer

Chesterfield, MO · On-site

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a ... related field; equivalent experience may be considered. * 2+ years of experience developing machine ...

duvari group

AI Engineer

Chesterfield, MO

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a ... related field; equivalent experience may be considered. * 2+ years of experience developing machine ...

duvari group

AI Engineer

Chesterfield, MO

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a ... related field; equivalent experience may be considered. * 2+ years of experience developing machine ...

memployersmins

Human Resources Intern (Remote)

Springfield, MO · On-site

$13.75 - $18.25/hr

MEM Insurance is seeking an HR Intern to join our Human Resources team and gain hands-on experience ... Notice Regarding Use of Artificial Intelligence MEM may use artificial intelligence (AI) tools to ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... with artificial intelligence. We collaborate closely with one of the top medical schools in the ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... with artificial intelligence. We collaborate closely with one of the top medical schools in the ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... with artificial intelligence. We collaborate closely with one of the top medical schools in the ...

next page

Showing results 1-20

All JobsArtificial Intelligence Engineer Intern JobsArtificial Intelligence Engineer Intern Jobs in Missouri

Artificial Intelligence Engineer Intern information

What does an artificial intelligence engineer intern do?

An Artificial Intelligence (AI) Engineer Intern assists in designing, developing, and testing AI models and algorithms under the guidance of experienced engineers. Their daily tasks may include data preprocessing, training machine learning models, evaluating model performance, and collaborating with team members on various AI projects. Interns often work with programming languages such as Python, and may utilize frameworks like TensorFlow or PyTorch. This role provides hands-on experience in applying AI techniques to real-world problems and helps interns build skills necessary for a career in artificial intelligence.

What types of projects and collaborations can an artificial intelligence engineer intern expect during their internship?

As an Artificial Intelligence Engineer Intern, you'll likely work on a variety of hands-on projects such as developing machine learning models, assisting with data preprocessing, and supporting the deployment of AI solutions. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers to solve real-world business problems. You’ll gain exposure to production environments, code reviews, and may participate in team meetings or brainstorming sessions. This structure provides valuable experience and networking opportunities, while also allowing you to contribute meaningfully to ongoing projects.

What are the key skills and qualifications needed to thrive as an artificial intelligence engineer intern, and why are they important?

To thrive as an Artificial Intelligence Engineer Intern, you need a strong background in computer science fundamentals, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by coursework or relevant projects. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and understanding of version control systems like Git are typically required. Curiosity, critical thinking, and effective communication help interns learn quickly, collaborate with teams, and contribute innovative ideas. These skills and qualities enable interns to contribute meaningfully to AI projects, adapt to new challenges, and build a solid foundation for a future career in AI engineering.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Missouri?

The most popular types of Artificial Intelligence Engineer jobs in Missouri are:

What cities in Missouri are hiring for Artificial Intelligence Engineer Intern jobs?

Cities in Missouri with the most Artificial Intelligence Engineer Intern job openings:

Artificial Intelligence Engineer Intern jobs near you

Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL

Spruce Infotech

Saint Louis, MO • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Work Location & Reporting Address Saint Louis, MO 63131
Vendor Rate XXX/hr.
Contract duration 12
Target Start Date 01 Aug 2026
Key Responsibilities:
Design and architect enterprise-grade AI/ML-powered Java applications on AWS cloud infrastructure
Define technical standards, patterns, and best practices for AI integration within Java ecosystems
Lead end-to-end architecture for microservices, APIs, and data pipelines supporting ML model serving
Conduct architecture reviews, threat modeling, and performance benchmarking
Mentor senior engineers and guide cross-functional teams on AI-first design principle
Required Skills:
Core Java & Architecture
Java 21+, Spring Boot, Spring AI
Microservices, event-driven architecture (Kafka, SQS/SNS)
REST/GraphQL API design, gRPC
Design patterns, Enterprise architecture and scaling
AI / ML Integration
Experience with Agentic AI / multi-agent frameworks at enterprise scale.
LLM integration via Anthropic Claude API, OpenAI, or AWS Bedrock
RAG architectures, vector databases (OpenSearch, Pinecone, pgvector)
Model serving, inference optimization, prompt engineering
Spring AI, Langgraph, Google ADK, A2A, MCP.
Prompt Engineering, prompt caching, Token optimization.
AWS
Core: EC2, ECS/EKS, Lambda, API Gateway, S3, RDS/Aurora, IAM, KMS, Secrets Manager, VPC security
AI: Bedrock, Agent Core.
Education
B.E./B.Tech/M.Tech in Computer Science or related field
Minimum years of experience
8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Define technical standards, patterns, and best practices for AI integration within Java ecosystems
Lead endtoend architecture for microservices, APIs, and data pipelines supporting ML model serving
Conduct architecture reviews, threat modeling, and performance benchmarking
Interview Process (Is face to face required?) Yes
Project Code: Code for MCity CB2 for SDITFLDTECH

Apply