Applied AI Engineer (Agentic Workflows & RAG) - Master-Level Internship

Key Responsibilities:

• Design, build, and harden agentic workflows that plan and take actions reliably and understand why agents fail.
• Build retrieval (RAG/search) pipelines that fetch the right client data and ground model outputs in it.
• Engineer prompts and context structures appropriate to the model class and evaluate AI features thoroughly.

Preferred Qualifications:

• Currently enrolled or recently graduated from a Master's program in Computer Science, Software Engineering, AI/ML, or a related field.
• Strong hands-on experience with AI coding assistants and the Claude API or comparable model APIs.
• Practical experience with agentic workflows, RAG pipelines, or integrating models via tool calling or MCP.

Tools & Tech Stack:

• Agentic coding with Claude Code, Cursor, or Windsurf.
• AI APIs & SDKs including Anthropic Claude API and comparable model APIs.
• Orchestration with MCP, function/tool calling, and agent frameworks app and data layers with React.js, Node.js, Python, Supabase, and PostgreSQL.