Unitedplacementgroup

Applied AI Engineer / Developer (Claude + Python)- On-Site Only (Bradenton, FL)

Bradenton, Florida, United States · Internship

Sponsorship not specifiedDetected 24 days ago

PythonReactNext.jsFastAPIFlaskCode ReviewGitVector DatabasesRESTLLMsRAGAgentic AIA/B TestingCollaborationProblem SolvingMentoring

About the role

This is a full-time, on-site role (not remote), ideal for someone who has been experimenting with LLMs and is ready to take ownership of end-to-end AI projects in a collaborative, hands-on environment.

Architect, implement, and maintain Claude-powered workflows and agents using Python.
Design and build integrations with external tools, REST APIs, databases, and other services to make agents genuinely useful in real-world work.
Lead prompt design and iteration-testing prompts, contexts, and settings to improve reliability, quality, and user experience.
Build and optimize context-augmented / RAG-style workflows (feeding documents or data into LLMs in a controlled, auditable way).
Collaborate with designers, product, and non-technical stakeholders to turn ideas into scoped, deliverable AI-powered features and tools.
Take ownership of projects end-to-end: requirements gathering, technical design, implementation, handoff, and ongoing improvement.
Direct mentorship and peer support from experienced AI/LLM practitioners on real-world projects.
you can drive a project forward independently while communicating clearly and syncing with the team.
We're especially interested in how you think, design, build, and learn, and in examples where you owned a project from start to finish..

2-4+ years of programming experience (professional, internship, or substantial project work) with strong Python skills.
Hands-on experience with large language models (Claude, ChatGPT, Gemini, etc.)-through production use, projects, coursework, or serious personal experimentation.
Experience calling web APIs (REST/JSON) and working with JSON data in Python.
Familiarity with core LLM concepts: prompts, tokens, context windows, and issues like hallucinations and guardrails.
Comfort using Git and working in a collaborative development workflow (code reviews, branching strategies, etc.).
Nice to Have Direct experience with Claude (Claude API, Anthropic console, or Claude-based tools).

Direct experience with Claude (Claude API, Anthropic console, or Claude-based tools).
Projects involving chatbots, assistants, AI agents, or workflow automation that solved a real user or business problem.
Exposure to web frameworks (FastAPI, Flask, or a front-end framework like React/Next.js).
Experience partnering with designers, content teams, or UX to ship polished user-facing experiences.
Working knowledge of vector databases, embeddings, or RAG-style systems, and how they fit into production AI architectures.
Basic familiarity with observability and deployment practices for AI-powered systems (e.g., monitoring, logging, error tracking).

Call LLM APIs (Claude and others), parse responses, and integrate them into internal tools, web applications, and operational workflows.
Write clean, testable Python code with appropriate logging, error handling, and basic observability.

Competitive compensation and benefits (health, PTO, etc.).
A collaborative environment that encourages ownership, experimentation, and cross-functional learning.

This listing is sourced directly from Unitedplacementgroup's careers page and normalized into a canonical job model.