AI / GenAI / LLM Engineer Intern

Responsibilities

• check_circle Build and test Generative AI applications using LLMs, prompt engineering, and AI workflow design.
• check_circle Assist in developing RAG pipelines using documents, vector databases, embeddings, and retrieval workflows.
• check_circle Work with Python, APIs, cloud services, and AI frameworks to create working AI application features.
• check_circle Support chatbot development, AI assistant workflows, and agentic AI use cases.
• check_circle Experiment with tools such as OpenAI, Azure OpenAI, Google Vertex AI, LangChain, LlamaIndex, Chroma, FAISS, Pinecone, or similar technologies.
• check_circle Evaluate AI outputs for accuracy, relevance, safety, consistency, and business usefulness.
• check_circle Collaborate with software, data, and product teams to convert business requirements into AI solutions.
• check_circle Document prompts, workflows, model behaviour, architecture decisions, and implementation steps.

Basic qualifications

• Recently completed a master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related STEM field.
• Strong foundation in Python programming.
• Familiarity with Generative AI, LLMs, prompt engineering, RAG, embeddings, vector search, or chatbot development.
• Exposure to APIs, cloud platforms, databases, or AI application development is desirable.
• Interest in building production-ready AI applications and business automation workflows.
• Strong analytical thinking, problem-solving ability, and willingness to learn quickly.
• Ability to work independently in a remote environment.

Benefits

• check_circle Employee assistance program
• check_circle Flexible schedule
• check_circle If applicable, what is your visa end date?
• check_circle Currently are you based in USA?
• check_circle What is your current Nationality?
• check_circle What is your visa status? (STEM, F1-OPT, Others)
• check_circle If applicable, what is your visa start date?

About the company