RESPONSIBILITIES:
- Assist in the development and testing of AI/LLM systems, including intelligent agent workflows and content generation.
- Support data extraction, preprocessing, and transformation for unstructured data such as code, documents, or text.
- Help implement and maintain backend services and APIs using Python and TypeScript.
- Collaborate with engineers to build retrieval-augmented generation (RAG) pipelines and semantic search workflows.
- Assist in model evaluation, testing, and monitoring, including checking AI outputs for accuracy and consistency.
- Participate in team discussions, code reviews, and documentation for AI system design and best practices.
REQUIREMENTS:
- Strong foundation in Python; familiarity with TypeScript is a plus.
- Interest in Generative AI, LLMs, and NLP applications.
- Understanding of basic data processing, embeddings, or semantic search concepts.
- Familiarity with API development, backend services, or cloud environments is a plus.
- Eagerness to learn, strong problem-solving skills, and the ability to work collaboratively in a team.
- Clear communication skills and ability to follow technical guidance.
QUALIFICATIONS:
- Currently pursuing a Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Demonstrated interest in AI/ML projects, coursework, or personal projects.
- No prior professional experience required; previous internships or projects in AI/ML are a plus.
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