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Salary
≈ $135k – $297k per year (Estimated)
Location
In office (Bradenton)
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match
Headquartered in University Park, Florida, United Placement Group is a staffing and recruitment agency specializing in talent acquisition across the financial, legal, and estate planning sectors. The firm provides full-cycle recruiting, candidate screening, data-driven candidate evaluation, and placement services for sales professionals, attorneys, and financial advisers. By offloading the burden of talent sourcing and matching specialized professionals with growing organizations, the agency enables businesses to streamline hiring workflows and lower operational recruiting costs.

About Us

We are building a small, fast-moving team focused on practical AI agents that actually help people get real work done. You’ll work at the intersection of Claude, Python, and modern design-helping us create and integrate AI agents into internal tools, customer-facing experiences, and creative workflows. 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.

Role Summary

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.

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.

Requirements

  • 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.

Nice to Have

  • 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).

What We Offer

  • 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.

How to Apply

Please send your resume, a brief introduction, and links to any relevant projects (GitHub, portfolio, or demos). If you’ve built anything with LLMs-even small experiments-please highlight those; we’re excited to see how you think and build.

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