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United Placement Group

AI Developer (Claude + Python) - Bradenton / Sarasota

United Placement Group Bradenton, Florida, United States

Staffing and Recruiting · 2-10 employees

8 h ago
python Mid (2-5 yrs) Contractor United States
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About the role

Build and integrate Claude-powered AI agents and workflows using Python, REST APIs, and databases. Maintain clean code standards by implementing tests, logging, and error handling for internal tools and customer experiences.

What they look for

Python Claude LLM APIs REST APIs JSON Git Prompt engineering RAG Database integration Web apps Error handling Logging

Requirements

Requires at least one year of applied experience building with LLM APIs and proficiency in Python, REST APIs, and JSON. Candidates must possess a working knowledge of prompts, tokens, and context windows, and must reside in the Bradenton-Sarasota area.

Benefits

Health insurance Dental insurance Vision insurance Life insurance Paid holidays Paid time off Vacation 401(k) with company match

Full description

UF Resources · Bradenton, FL (On-Site, near UTC and I-75) · Full-Time W-2 · Pay based on experience, paid weekly

No commute to Tampa and no remote job in another time zone: build Claude-powered tools on-site in Bradenton.

Local candidates only: you must live in the Bradenton–Sarasota area now. No relocation, remote, or hybrid.

Build Claude-powered AI agents for internal tools, customer experiences, and creative workflows, with a small team and senior mentorship.

What you'll do

  • Build Claude-powered workflows and agents in Python
  • Integrate LLM APIs with REST APIs, databases, and web apps
  • Iterate on prompts and context; build RAG-style workflows
  • Ship clean code with tests, logging, and error handling

Required

  • 1+ year of applied experience building with LLM APIs
  • Solid Python, REST APIs, and JSON; Git
  • Working knowledge of prompts, tokens, context windows, and hallucinations

Benefits: health, dental, vision, and life after 90 days; paid holidays, PTO, vacation; 401(k) with company match.

To apply: include a link to something you built with an LLM API and 2–3 sentences on a problem you solved. No project link, no review.

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