AI Engineering Apprenticeship — LUNARTECH — USA

Company Description LUNARTECH is a Texas-based, globally operated AI deep-tech startup focused on building people, products, and production-grade systems for the AI era. The founders bring over a decade of experience in AI, data science, software engineering, and production systems, and are recognized among the top 2% of AI influencers worldwide. Through LunarTech Academy, the company has trained thousands of learners in practical AI and data science via bootcamps and structured programs that have received international recognition and media coverage. LUNARTECH’s ecosystem includes education, labs, fellowships, and specialized AI products for sectors such as healthcare, telecom, energy, construction, and education. The company builds AI-native applications using generative AI, agents, machine learning, deep learning, and robust data infrastructure to turn advanced AI into real capability in high-impact industries.
Role Description The AI Engineering Apprenticeship at LUNARTECH is a part-time, remote role designed to provide hands-on experience with production-grade AI systems. Apprentices will support the design, development, and testing of AI-native applications, working with engineering mentors on models, data pipelines, and system integration. Day-to-day tasks may include researching AI techniques, assisting with model evaluation, documenting engineering workflows, and contributing to small project components under guidance. Apprentices will collaborate across teams to help translate technical requirements into actionable tasks, maintain clear communication on project progress, and contribute to process improvements. The role offers structured learning, mentorship, and exposure to real-world AI products across multiple industries.
Qualifications
Strong Communication skills, including clear written and verbal reporting, collaborative work with multidisciplinary teams, and the ability to explain technical ideas in accessible language.
Solid Analytical Skills for problem-solving, data interpretation, and logical reasoning in AI, engineering, and system design contexts.
Foundational Project Management abilities, such as task prioritization, time management, and coordinating workstreams within apprenticeships or academic projects.
Interest or background in Mechanical Engineering and Manufacturing Engineering, including understanding of systems, processes, and technical specifications (prior experience or coursework is beneficial but not mandatory).
Basic understanding of AI, machine learning, or data science concepts (self-study, online courses, or bootcamps are a plus).
Comfort with programming fundamentals (e.g., Python or similar languages) and willingness to learn tools commonly used in AI engineering.
Ability to work independently in a remote environment, accept feedback constructively, and iterate quickly on assigned tasks.
Current student or recent graduate in engineering, computer science, data science, or a related field is preferred, but applicants with equivalent practical experience are welcome.

Work arrangement
Yes