Junior AI Dev: Claude-Powered Python Workflows

United Placement Group

Bradenton (FL)

On-site

USD 60,000 - 85,000

Full time

9 days ago

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Benefits offered by this job

Full-time, on-site position
Weekly pay
Benefits (health, PTO)

Job summary

United Placement Group is seeking a Junior AI Developer to build Claude-powered agents, integrate them with Python back-ends and APIs, and collaborate with the design team. You will own small features end-to-end—from prototype to production—with senior engineers providing mentorship.

You will work on-site in a collaborative environment, growing into a strong applied AI/LLM engineer through hands-on projects and real-world tooling.

Qualifications

  • 1–2+ years of programming experience (professional, internship, or project work).
  • Solid Python skills and experience with LLMs (Claude, ChatGPT, Gemini, etc.).
  • Basic experience calling web APIs (REST/JSON) and handling JSON in Python.
  • Familiarity with prompts, tokens, context windows, and common LLM issues.
  • Comfort using Git and collaborating in a team environment.

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 apps.
  • Collaborate with senior engineers to connect agents to external tools, REST APIs, databases and services.
  • Assist in prompt design and iteration to improve reliability and output quality.
  • Assist in building simple context-augmented/RAG workflows with documents or data for LLMs.
  • Write clean Python code with basic tests, logging, and error handling.
  • Work with designers and non-technical stakeholders to turn ideas into AI-powered features.

Skills

Python
LLM concepts
REST/JSON calls
Claude API
Git
Team collaboration

Tools

Claude API
FastAPI
Flask
Git

Job description

United Placement Group is seeking a Junior AI Developer to build Claude-powered agents, integrate them with Python back-ends and APIs, and collaborate with the design team. You will own small features end-to-end—from prototype to production—with senior engineers providing mentorship.

You will work on-site in a collaborative environment, growing into a strong applied AI/LLM engineer through hands-on projects and real-world tooling.

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