AI Engineering Internship

Jobtailor; California (MO); On-site; USD 34,000 - 55,000; Full time

Job summary

Jobtailor seeks a motivated AI internship candidate to prototype and ship AI-native products for millions of users. You will research and productionalize AI systems including multimodal search and document processing, while shaping the AI infrastructure with fine-tuning, RL, and guardrails.

You will work with AWS Ultraclusters, PyTorch, and agentic frameworks to develop capabilities and architect autonomous workflows that navigate tools within complex microservice environments.

Qualifications

• Pursuing a Master’s degree with expected completion by Aug 2028 or earlier.
• Must continue in the same program after internship.
• At least 6 months experience developing AI/ML algorithms or related projects.
• At least 6 months experience programming in Python/Go/Scala/Java.
• Experience deploying AI/ML systems on AWS, Google Cloud, or Azure.
• Experience optimizing AI/ML training or inference pipelines.

Responsibilities

• Partner with researchers, PMs, and engineers to prototype and ship AI-native products for millions of users.
• Research, prototype, and productionalize AI systems including multimodal search and intelligent document processing.
• Design and optimize AI infrastructure, including fine-tuning, pre-training, RL, and guardrails.
• Use AWS Ultraclusters, PyTorch, and agentic frameworks to develop capabilities.
• Architect agentic workflows that autonomously navigate tools and multi-step reasoning in microservice environments.
• Build Agentic AI applications and platform capabilities for GenAI workflows and internal coding tools.

Skills

AI/ML development

Python

Cloud deployment

Distributed GPU training

LangChain familiarity

Education

Master’s degree candidate in CS/AI/EE/related field

Tools

AWS Ultraclusters

PyTorch

LangChain

LangGraph

LlamaIndex

Autogen

MCP/A2A

Frontier-Labs SDKs

Job description

• 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 Ultraclusters, 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

Requirements

• 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 LangChain, LangGraph, LlamaIndex, Autogen, MCP/A2A, or frontier-labs agent SDKs

Core Competencies

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

ATS Optimization Keywords

Hard Skills

• AI Algorithms
• Machine Learning
• Multimodal Search
• Reinforcement Learning
• Inference Optimization
• NLP
• Computer Vision
• Distributed GPU Frameworks
• Fine-Tuning Pipels
• Pre-Training Pipels

Industry Keywords

• AI-Native Products
• Agentic Workflows
• Cloud Platforms
• Microservice Environments
• AI Infrastructure

Tools & Technologies

• AWS Ultraclusters
• PyTorch
• LangChain
• LangGraph
• LlamaIndex
• Autogen
• MCP/A2A
• Frontier-Labs Agent SDKs