AI Tool Developer Intern (Agentic AI)
About The Position
The rapid advancement of Large Language Models (LLMs) and Agentic AI architectures has accelerated the adoption of artificial intelligence across multiple technical disciplines. Aerospace, Autonomous Systems, and Defense are beginning to leverage these technologies to accelerate and reduce the cost of the R&D lifecycle from concept to operational capability. Skydweller is seeking an Intern to support the development of Agentic AI capabilities within a safety-critical aerospace R&D environment. This role focuses on building an AI agent prototype from the ground up, providing hands-on experience with core agentic AI building blocks—from architecture and tool integration to implementation and testing.
Requirements
- Graduate or upper-level undergraduate student in Computer Science, Aerospace Engineering, or related field
- Proven experience with Python programming
- Familiarity with AI/ML concepts (LLMs, APIs), or data processing preferred.
Nice To Haves
- Prior participation in R&D projects, especially in the fields of Aerospace, Meteorology, Applied Physics, or simulations is a plus.
Responsibilities
- Develop Python code using version control (Git) and software best practices
- Help build and test an Agentic AI working prototype aligned to a real-world R&D use case
- Document code, workflows, and system architecture
- Participate in agile development cycles, design reviews, and technical discussions
Benefits
- Work on cutting-edge AI applications in aerospace and autonomy
- Contribute to real-world R&D with measurable impact
- Gain hands-on experience in one of the fastest-evolving areas of technology
- Build skills directly aligned with high-demand engineering careers
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What This Job Offers
Career Level
Intern
