About this role

Build and improve AI chatbot agents powered by LLMs, including retrieval-augmented generation (RAG), prompt engineering, and tool orchestration
Develop and refine fraud detection models using embeddings, semantic search, and rule-based systems
Design and maintain data pipelines, including ingestion, embedding, vector storage, and retrieval quality
Build evaluation frameworks to measure and improve AI agent accuracy and response quality
Collaborate with Engineering and Product teams to ship features end-to-end in a fast-paced, agile environment
Write clean, testable code and contribute to our AI platform and internal tooling
Gain exposure to technologies such as Python, FastAPI, LangChain, LangGraph, Google Gemini / Vertex AI, vector databases (pgvector, FAISS), AWS (EKS, S3), Docker, Kubernetes, Streamlit

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s students with a focus on AI/ML preferred)
Experience with Python and familiarity with REST APIs
Interest or hands-on experience with LLMs, RAG, or machine learning pipelines
Strong attention to detail, accuracy, and reliability
Strong problem-solving and critical thinking skills, with the ability to thrive in a fast-paced environment
Excellent written and verbal communication skills.

AI Engineer Intern, Summer 2026

Key skills