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, econometrics, statistics, and production systems, and are recognized among the top 2% of global AI influencers. Through LunarTech Academy, the company has trained thousands of learners worldwide via bootcamps and structured programs, earning recognition from major publications and receiving the European Union Seal of Excellence. LUNARTECH operates an integrated ecosystem that includes education, applied AI labs, fellowships, and specialized AI products for sectors such as healthcare, telecom, energy, construction, and education. The company focuses on AI-native applications, using generative AI, agents, machine learning, and robust engineering to turn advanced AI into real-world capability.
Role Description This part-time, remote AI Engineering Apprenticeship at LUNARTECH is designed for individuals seeking hands-on experience in modern AI engineering. Apprentices will assist in designing, implementing, and testing AI and machine learning components for real-world systems, collaborating with senior engineers and product teams. Daily tasks may include data exploration, model experimentation, code reviews, documentation, and participation in stand-ups or project sync meetings. Apprentices will help support small project modules, contribute to internal tools or prototypes, and follow technical guidance to deliver well-structured, reliable code. The role emphasizes learning, mentorship, and practical exposure to production-grade AI workflows while contributing to meaningful products and research-driven initiatives.
Qualifications
Candidates should possess strong Communication skills, including clear written and verbal communication and the ability to collaborate effectively in distributed teams.
Candidates should possess solid Analytical Skills, such as problem-solving, quantitative reasoning, and the ability to interpret data and technical documentation.
Candidates should possess Project Management capabilities, including task prioritization, time management, and basic familiarity with agile or iterative workflows.
Candidates should possess foundational Manufacturing Engineering knowledge, particularly in process thinking, systems optimization, or industrial workflows that can inform AI applications.
Candidates should possess Mechanical Engineering fundamentals, such as understanding of mechanics, systems design, and modeling concepts that support technical problem-solving.
Relevant skills include basic programming (e.g., Python), familiarity with machine learning concepts, and interest in AI agents, data pipelines, or MLOps.
Beneficial qualifications include current enrollment in or completion of a STEM program (e.g., computer science, engineering, mathematics) and experience with collaborative tools such as Git, issue trackers, or cloud services.
Curiosity, willingness to learn, attention to detail, and the ability

Work arrangement
Yes