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

As an Applied AI Engineer / Developer, you will design, build, and refine AI agents powered by Claude and other LLMs, integrate them with Python back-ends and third-party APIs, and partner closely with designers and business stakeholders.

You'll own projects from concept through production-scoping requirements, prototyping, iterating on prompts and architecture, and delivering reliable, maintainable solutions-while also collaborating closely with the rest of the team to share patterns and improve our overall AI stack. What You'll Do

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

Do you have experience in Git?, * 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.).
• Ability to balance autonomy and collaboration: you can drive a project forward independently while communicating clearly and syncing with the team.
• Strong problem-solving skills, curiosity, and a bias toward experimentation and continuous improvement.
• Ability and willingness to work on-site full time at our office location (this is not a remote or hybrid role).

Nice to Have

• 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).

Pulled from the full job description

• Health insurance
• Paid time off, What We Offer
• Full-time, on-site position with weekly pay.
• Competitive compensation and benefits (health, PTO, etc.).
• A collaborative environment that encourages ownership, experimentation, and cross-functional learning.
• Direct mentorship and peer support from experienced AI/LLM practitioners on real-world projects.
• The opportunity to work hands-on with the latest LLM tools and workflows, shape our AI capabilities, and grow quickly as the team and company expand.

We're 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 product design-creating and integrating AI agents into internal tools, customer-facing experiences, and creative workflows.