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Junior AI Developer (Claude + Python, On-Site)

United Placement Group · Bradenton, FL, US

Actively hiring Posted 4 months ago

Responsibilities

  • 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.
  • Help with prompt design and iteration: test different prompts, contexts, and settings to improve reliability and output quality.
  • Assist in building simple context-augmented/RAG-style workflows (e.g., feeding documents or data into LLMs in a controlled way).
  • Write clean, readable Python code with basic tests, logging, and error handling.
  • Work closely with designers and non-technical stakeholders to turn ideas into AI-powered features and tools.

Basic qualifications

  • 1–2+ years of programming experience (professional, internship, or strong project work), with solid Python skills.
  • Some hands-on experience with large language models (Claude, ChatGPT, Gemini, etc.), either through projects, coursework, or personal experimentation.
  • 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.
  • Ability and willingness to work on-site full time at our office location.

Preferred qualifications

  • Direct experience with Claude (Claude API, Anthropic console, or Claude Skills).
  • Projects involving chatbots, assistants, AI agents, or workflow automation.
  • Exposure to web frameworks (FastAPI, Flask, or a front-end framework like React/Next.js).
  • Experience working with or supporting graphic designers, content teams, or UX designers.
  • Basic understanding of vector databases, embeddings, or RAG-style systems (not required, but a plus).

Benefits

  • Full-time, on-site position with weekly pay.
  • Competitive compensation package with benefits (health, PTO, etc. – customize as needed).
  • A collaborative environment that encourages growth, shared ideas, and cross-functional learning.
  • 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.

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