Junior AI Developer (Claude + Python)

As a Junior AI Developer, you will help build and refine AI agents powered by Claude, integrate them with Python back-ends and third-party APIs, and support collaboration with our design team. You’ll work closely with more senior engineers, but you’ll also own small features end-to-end—from prototype to production. This is an in-house, on-site role, ideal for someone who has started experimenting with LLMs and wants to grow into a strong applied AI/LLM engineer in a collaborative team setting.

What You Will Do

Implement and maintain Claude-powered workflows and agents using Python. Call LLM APIs (Claude and others), parse responses, and integrate them into internal tools or web applications. Collaborate with senior engineers to connect agents to external tools, REST APIs, databases, and other services.

Why It Might Be a Fit

You’ll work closely with designers and non-technical stakeholders to turn ideas into AI-powered features and tools. You’ll have direct mentorship from more experienced AI/LLM engineers on real-world projects. The opportunity to work hands-on with the latest LLM tools and workflows in a supportive team setting.

Requirements

• 1–2+ years of programming experience (professional, internship, or strong project work)
• solid Python skills
• some hands-on experience with large language models (Claude, ChatGPT, Gemini, etc.)
• basic experience calling web APIs (REST/JSON) and handling JSON data in Python
• familiarity with core LLM concepts: prompts, tokens, context windows, and common issues like hallucinations
• comfort using Git and working in a collaborative development environment
• strong desire to learn, experiment, and improve; clear communication and willingness to ask questions

Benefits

• full-time, on-site position with weekly pay
• competitive compensation package with benefits (health, PTO, etc.)
• collaborative environment that encourages growth, shared ideas, and cross-functional learning
• direct mentorship from more experienced AI/LLM engineers on real-world projects
• opportunity to work hands-on with the latest LLM tools and workflows in a supportive team setting