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

United Placement Group • Bradenton, FL, US

Actively Hiring

Full-time Posted 5 months ago

Responsibilities

check_circle Implement and maintain Claude-powered workflows and agents using Python.
check_circle Call LLM APIs (Claude and others), parse responses, and integrate them into internal tools or web applications.
check_circle Collaborate with senior engineers to connect agents to external tools, REST APIs, databases, and other services.
check_circle Help with prompt design and iteration: test different prompts, contexts, and settings to improve reliability and output quality.
check_circle Assist in building simple context-augmented/RAG-style workflows (e.g., feeding documents or data into LLMs in a controlled way).
check_circle Write clean, readable Python code with basic tests, logging, and error handling.
check_circle Work closely with designers and non-technical stakeholders to turn ideas into AI-powered features and tools.

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.

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).

check_circle Full-time, on-site position with weekly pay.
check_circle Competitive compensation package with benefits (health, PTO, etc. – customize as needed).
check_circle A collaborative environment that encourages growth, shared ideas, and cross-functional learning.
check_circle Direct mentorship from more experienced AI/LLM engineers on real-world projects.
check_circle The opportunity to work hands-on with the latest LLM tools and workflows in a supportive team setting.

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