AI Integration Engineer Intern (Master's Level)
About Us
We're a technology company building an innovative low-code integration platform that helps businesses automate workflows and connect their systems efficiently. Our visual workflow editor allows users to create powerful integrations without extensive coding knowledge.
The Opportunity
We're seeking an experienced Master's student in Computer Science to help develop our cutting-edge AI Copilot feature that will revolutionize how integrations are built. This role requires prior hands-on experience with AI technologies, specifically vector databases, RAG systems, and large language models. You will be able gain invaluable experience building products and solutions that are actively used by the customer and work in real world applications that could make a huge impact.
What You'll Do
- Develop an AI system that can generate complete integration workflows from natural language descriptions
- Implement and optimize vector databases and retrieval-augmented generation (RAG) techniques
- Apply Model Context Protocol (MCP) for standardized AI interactions
- Design and execute testing protocols for AI-generated workflows
- Create and refine AI prompts for workflow generation
- Apply enterprise integration patterns to improve AI output quality
Required Qualifications
- Currently pursuing a Master's degree in Computer Science or related field
- Demonstrable prior experience implementing LLM-based applications
- Hands-on experience with vector databases (Pinecone, Weaviate, etc.)
- Practical knowledge of RAG systems implementation
- Strong programming skills in Java or similar languages
- Experience with prompt engineering for LLMs
- Ability to work independently on complex technical challenges
Preferred Qualifications
- Experience with OpenAI, Azure OpenAI, or similar AI services
- Previous work with integration platforms or workflow automation
- Knowledge of REST APIs and API integration patterns
- Experience with Microsoft Azure services
- Understanding of enterprise software integration concepts
- Previous internship or project experience in AI engineering
Learning Outcomes
As an intern, you'll gain hands-on experience with:
- State-of-the-art AI technologies including large language models
- Enterprise integration patterns and workflow automation
- Vector databases and knowledge retrieval systems
- Software development in a professional environment
- Collaborative work on a significant AI product feature
Details
- Location: Atlanta, GA (preferred) with remote possibility for exceptional candidates
- Duration: 3-6 months
- Compensation: $1,500-$2,000 per month
How to Apply
Submit your resume, a brief cover letter, and portfolio of prior AI/ML projects that specifically demonstrate your experience with:
- Vector databases or RAG implementations
- LLM applications you've built
- Any workflow automation or integration experience
This internship is designed for Computer Science Master's students who have already gained practical experience with AI technologies and are ready to apply advanced skills to a complex business problem.