AI Engineering Internship
Job in
California, Moniteau County, Missouri, 65018, USA
Listed on 2026-09-15
Listing for:
Jobtailor
Apprenticeship/Internship
position Listed on 2026-09-15
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
- Partner with research scientists, product managers, and engineers to prototype and ship AI-native products reaching millions of customers
- Research, prototype, and productionalize AI systems including multimodal search, intelligent document processing, and autonomous agentic workflows
- Design and optimize AI infrastructure, including fine-tuning and pre-training pipelines, reinforcement learning, inference optimization, guardrails, and evaluation frameworks
- Use AWS Ultra clusters, PyTorch, and agentic frameworks to develop AI capabilities
- Architect agentic workflows that autonomously navigate tools, orchestrate multi-step reasoning, and integrate with complex microservice environments
- Build Agentic AI applications and platform capabilities for customer-facing GenAI workflows and internal coding tools
- Currently pursuing a Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, with the required degree expected by August 2028 or earlier
- Must continue in the same course of study after the internship period
- At least 6 months of experience or academic work developing AI and ML algorithms or technologies
- At least 6 months of experience or academic work programming with Python, Go, Scala, or Java
- Experience or academic work deploying AI/ML systems on cloud platforms such as AWS, Google Cloud, or Azure
- Experience or academic work developing and applying techniques for optimizing AI/ML training or inference pipelines, including distributed GPU computational frameworks
- Experience or academic work with AI/ML domains and systems such as LLM inference, search and retrieval, NLP, computer vision, guardrails, or memory
- Familiarity with agentic frameworks such as Lang Chain, Lang Graph, Llama Index, Autogen, MCP/A2A, or frontier-labs agent SDKs
Demonstrates expertise in developing and optimizing AI systems, including multimodal search and intelligent document processing, while leveraging cloud platforms like AWS for deployment. Proficient in programming languages such as Python and Java, with a strong foundation in AI/ML algorithms and frameworks.
Highest-signal resume keywords- AI System Development
- Python Programming
- AWS Deployment
- AI/ML Optimization Techniques
- Agentic Frameworks Familiarity
- AI Algorithms
- Machine Learning
- Multimodal Search
- Reinforcement Learning
- Inference Optimization
- NLP
- Computer Vision
- Distributed GPU Frameworks
- Fine-Tuning Pipels
- Pre-Training Pipels
- AI-Native Products
- Agentic Workflows
- Cloud Platforms
- Microservice Environments
- AI Infrastructure
- AWS Ultra clusters
- Py Torch
- Lang Chain
- Lang Graph
- Llama Index
- Autogen
- MCP/A2A
- Frontier-Labs Agent SDKs
Position Requirements
Less than 1 Year
work experience
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