Applied AI Engineer

Future Tech Enterprise, Inc.•Fort Lauderdale, FL

About The Position

Most companies are still talking about how AI may change the way people work. Future Tech is looking for an engineer who wants to build that future now. We are building a small, startup-style AI engineering team with a simple mandate: find valuable internal problems, build AI solutions quickly, put them in the hands of real users, and learn from what happens. As an Applied AI Engineer, you will work directly with the Chief Technology Innovation Officer, executives, and employees to turn rough ideas into working applications. You will own the full path from discovery and prototype through deployment, feedback, and iteration. This role is designed for a true builder - someone who experiments constantly, learns new tools quickly, and would rather demonstrate working software than spend months discussing it. Future Tech will provide access to the latest models, AI coding tools, frameworks, infrastructure, and partner expertise needed to move fast. Examples may include Claude Code, Hugging Face, Thinking Machines Inkling, frontier level open and closed models, GCP, and emerging agent frameworks, but the stack will evolve with the technology and the problem.

Requirements

Demonstrated ability to build working software through professional experience, internships, open-source work, or a strong portfolio of personal projects.
Proficiency in at least one modern programming language and the ability to work across APIs, databases, back-end services, and front-end interfaces.
Hands-on experience building with large language models or AI APIs, not only using consumer AI applications.
Strong curiosity, bias toward action, and comfort learning unfamiliar technologies while solving ambiguous problems.
Ability to communicate with non-technical users, translate their needs into a solution, and respond constructively to feedback.
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Unconventional paths are welcome.
U.S. Citizenship is required.

Nice To Haves

Experience building an end-to-end AI application that includes a user interface, application services, model integration, data, and deployment.
Experience with AI coding tools such as Claude Code, Cursor, or Codex.
Familiarity with full-stack AI patterns such as tool calling, retrieval-augmented generation, agent orchestration, reasoning loops, feedback loops, evaluations, observability, and guardrails.
Experience integrating applications with enterprise APIs, identity and access controls, databases, cloud services, or workflow platforms.
A portfolio, GitHub profile, open-source contribution, hackathon project, or other work that shows what you like to build.

Responsibilities

Work directly with users to understand problems, identify high-value opportunities, and define what should be built.
Design and build full-stack AI solutions across the user experience, application logic, models, data, APIs, integrations, and deployment.
Select the right technical approach for each problem rather than forcing every use case into the same framework or platform.
Ship early versions quickly, gather feedback, measure whether they work, and improve or abandon them based on what you learn.
Move successful prototypes into reliable production solutions with appropriate security, permissions, testing, monitoring, and human oversight.
Stay current on a rapidly changing AI ecosystem and bring useful new capabilities into the team when they create practical value.