Generative AI Intern
Summary
Build generative AI prototypes using LLMs, RAG, and agent-based systems to prototype AI-powered features and workflows.
Build The Future Of AI-Powered Experiences
Join Teletrac Navman at the forefront of Generative AI innovation. As a Generative AI Intern, you’ll work on cutting‑edge technologies including large language models (LLMs), retrieval‑augmented generation (RAG), and agent‑based AI systems. This is a unique opportunity to experiment, prototype, and help shape how AI is applied across products, knowledge systems, and business workflows.
What You’ll Be Working On
- Designing and developing generative AI prototypes and experiments
- Prompt engineering, refinement, and evaluation for LLM workflows
- Building RAG pipelines using embeddings and vector search
- Structuring and indexing knowledge sources for AI applications
- Exploring agentic AI workflows and orchestration patterns
- Evaluating AI outputs for quality, relevance, and safety
- Documenting prompt strategies, architectures, and experimental outcomes
- Identifying limitations and improvement opportunities in AI systems
- Supporting integration with APIs and emerging AI tooling
- Contributing to research and proof‑of‑concepts
Requirements
- Currently completing (or recently completed) a degree in Computer Science, AI, Software Engineering, Data Science, Computational Linguistics, or similar
- Foundational understanding of LLMs, embeddings, prompt engineering, or RAG concepts
- Proficiency in Python and familiarity with APIs, JSON, and data processing
- Strong analytical thinking and attention to detail when evaluating AI outputs
- Clear communication and documentation skills
- A growth mindset, curiosity, and enthusiasm for experimentation