What are the responsibilities and job description for the Applied AI Engineer position at Future Tech Enterprise, Inc.?
About Future Tech
Future Tech Enterprise, Inc. delivers enterprise technology solutions and services to commercial, federal, and global clients. We work with leading technology partners to help organizations modernize operations and apply emerging technology to real business problems.
Position Overview
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.
What You Will Build
Future Tech Enterprise, Inc. delivers enterprise technology solutions and services to commercial, federal, and global clients. We work with leading technology partners to help organizations modernize operations and apply emerging technology to real business problems.
Position Overview
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.
What You Will Build
- AI applications and agents that help employees complete real work, make decisions, find information, and automate repetitive processes
- Fast prototypes that test promising ideas with users before the company makes a larger investment
- Production-ready internal tools that connect AI with business data, systems, workflows, and user interfaces
- Reusable components and patterns that make each new AI solution faster and easier to deliver
- 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
- 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
- This position works with US Government Contractors, therefore U.S. Citizenship is required
- 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
- Thoughtful speed over unnecessary process
- Working software and real user feedback over lengthy requirement documents
- Small experiments, rapid learning, and a fail-fast/fail-forward mindset
- Freedom to use the best available technology for the problem
- High ownership: the person who builds the solution stays close to the users and the outcome
- Build AI solutions that will be used by executives and employees, not prototypes that disappear after a presentation
- Work directly with the Chief Technology Innovation Officer and have meaningful ownership from day one
- Experiment with cutting-edge technology without being constrained by a fixed corporate stack or lack of access to tools
- Develop rapidly by shipping real products, seeing how users respond, and learning what works in an enterprise environment
- Help define how Future Tech builds and scales practical AI solutions across the business
- Competitive benefits, including medical, dental, vision, 401(k) with company match, and paid time off