• BS in Computer Science, Software Engineering, or related field — or equivalent practical experience
• 0 – 2 years of software engineering experience; internships, co-ops, and substantial personal/open-source projects count
• Solid Python fundamentals: writing clean, testable code, working with common tooling (git, virtual environments, debugging), and reading others' code
• Experience building or integrating with REST APIs, e.g., experience in designing endpoints (FastAPI, Flask, Django), consuming third-party APIs, handling authentication, pagination, and/or error cases
• Basic software engineering hygiene: version control, code review, writing tests, and working in a team workflow
• Familiarity with agentic AI concepts — tool/function calling, prompt chaining, or agent loops — demonstrated through coursework, hackathons, personal projects, or work experience. Exposure to frameworks like LangGraph, LangChain, or similar is a strong plus
• Some hands-on experience calling LLM APIs (OpenAI, Anthropic, or open-source models) as part of a larger application Bonus
• Exposure to databases (SQL or NoSQL), caching, or message queues
• Experience with async/concurrent programming in Python
• Familiarity with RAG concepts: embeddings, vector databases, retrieval pipelines