Description:

The AI Engineering Intern will support AI-first initiatives by building production-ready systems that extract, structure, and analyze data from PDF documents.
The role involves working across backend, AI, and frontend systems, making it ideal for someone passionate about AI and the legal tech industry.
The intern will develop AI pipelines to extract structured data from PDFs using machine learning models and integrate pre-trained/custom models for field detection, layout analysis, and document parsing.
Responsibilities include implementing OCR and computer vision techniques for layout detection and field recognition, as well as creating and maintaining RESTful APIs for AI services using .NET and AWS Lambda.
The intern will also build and integrate React-based UIs that visualize AI outputs, enhance PDF viewing with field highlighting, annotations, and feedback indicators, and implement user interactions and real-time processing updates.
Additionally, the role includes working with AWS services like Bedrock, Textract, Lambda, and S3, optimizing inference pipelines and API responsiveness, and implementing testing and monitoring strategies for AI components.

Requirements:

Candidates must be pursuing a degree in Computer Science, AI/ML, or Data Science, with relevant coursework or projects in machine learning, computer vision, or natural language processing.
The ideal candidate should be independent, curious, and driven to solve hard problems, eager to learn, and comfortable in fast-paced startup environments.
Attention to detail and a commitment to shipping high-quality code are essential.
Proficiency in Python for machine learning/AI and JavaScript/TypeScript is required.
Experience with machine learning frameworks such as TensorFlow or PyTorch is necessary.
Familiarity with AWS services including Textract, Bedrock, Lambda, and S3 is expected.
Experience with React and RESTful APIs is required, along with strong problem-solving and debugging skills.
Candidates should have Git proficiency and experience with collaborative workflows.
Nice-to-have skills include experience with document processing libraries, OCR and computer vision tools, NLP/text extraction experience, familiarity with SQL/NoSQL databases and .NET (C#), and knowledge of Docker and testing tools for machine learning systems.

The position offers competitive compensation of up to $700 per month.
It allows for remote work from anywhere with flexible hours.
Interns will have direct access to mentorship from industry experts and founders.
There are growth opportunities with real ownership over AI features in production.
The role provides learning and development experiences to build full-stack skills across AI, backend, and frontend.
High performers may receive full-time offers, providing a path to full-time employment.