Summary
✨ AI‑Generated
Join a globally operated AI deep-tech fellowship designed for aspiring software engineers who want hands-on exposure to production-grade systems. The program offers opportunities to develop software engineering and AI capabilities while engaging with applied technology initiatives across multiple critical industries. It is suited to motivated candidates seeking structured professional development in the AI era.
Highlights
Opportunity to develop production-grade AI and software engineering skills within a globally operated deep-tech environment, with exposure to education, AI research, and applied technology projects.
Description
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, certifications, and structured programs, earning recognition from major outlets such as Forbes, Yahoo, and Insider, as well as the European Union Seal of Excellence.
LUNARTECH operates a connected ecosystem spanning education, AI labs, fellowships, specialized translation platforms, personalized AI learning infrastructure, and healthcare-focused clinical intelligence.
The company is committed to building AI-native applications that turn advanced AI into real capability across critical industries.
Role Description The Software Engineering Fellowship — LUNARTECH is a part-time, remote opportunity designed to provide hands-on experience with real AI-native systems.
Fellows will collaborate with engineering and product teams to design, develop, test, and maintain software components that support LUNARTECH’s platforms and production-grade AI solutions.
Day-to-day responsibilities include implementing features, writing clean and efficient code, working with databases and Linux-based environments, and contributing to system integration and performance optimization.
Fellows will participate in code reviews, technical discussions, and documentation to ensure reliability, scalability, and security of the systems.
The fellowship also includes mentorship, exposure to modern AI engineering practices, and performance-based evaluation that may lead to advanced opportunities within the LUNARTECH ecosystem.
Qualifications
Strong foundation in Software Development and Programming, with the ability to write robust, maintainable code.Experience working with Databases and data-driven applications, including querying, schema design, and performance considerations.Comfort using Linux environments for development, deployment, and troubleshooting.Proficiency in Java or a similar object-oriented programming language and understanding of software engineering principles.Familiarity with version control (e.g., Git) and collaborative development workflows.Interest in AI, machine learning, or data-intensive systems; prior exposure to these domains is a plus.Ability to work independently in a remote setting, communicate clearly, and manage time across part-time fellowship commitments.Currently pursuing or having completed a degree or structured training in computer science, software engineering, or a related technical field, or equivalent practical experience.
