AI Engineering & Product Innovation Internship
Work Arrangement: Remote
About the Role
We are offering a hands-on internship for students eager to explore the intersection of AI engineering, automation, and product innovation . As part of our team, you’ll help design and prototype real-world solutions that use AI models, automation frameworks, and developer tools. This internship provides an opportunity to gain experience working alongside engineers and product managers, contributing directly to experiments and product features that push the boundaries of what AI can do.
This role is ideal for individuals who are curious, analytical, and passionate about building, experimenting, and learning—whether your long-term interests lie in engineering, product management, or applied AI research .
Responsibilities:
- Develop and test features involving LLMs, automation pipelines, or AI-driven tooling
- Assist with model evaluation, data preparation, and prompt engineering
- Build lightweight prototypes and internal tools to accelerate experimentation
- Work with engineers and product managers to define requirements, validate assumptions, and iterate quickly
- Contribute to documentation, dashboards, and performance tracking
- Participate in brainstorming sessions around product direction and user needs
- Investigate emerging AI capabilities and summarize insights for the team
Experience Requirements:
- Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or related field.
- Strong problem-solving ability with a self-starter mindset.
- Comfortable writing code in Python, JavaScript, or a similar programming language—or willing to learn quickly.
- Interest in AI/ML systems, LLMs, developer tooling, or product design.
- Clear communicator with a collaborative mindset and curiosity-driven approach to learning.
- Open to students seeking academic credit or practical experience in a professional setting.
Technical Skills:
- Basic programming knowledge (Python, JavaScript, or equivalent).
- Familiarity with AI tools, automation frameworks, or cloud-based developer environments (nice-to-have).
- Understanding of data preparation, API usage, and experimentation workflows.
Nice-to-Have (Not Required):
- Experience with machine learning frameworks, LLM APIs, or workflow automation tools.
- Exposure to product thinking, UX design, or startup environments.
- Prior projects—academic, personal, or research-based—that demonstrate initiative and creativity.
Application Process
If you’re excited to explore the frontier of AI and contribute to real-world innovation, we’d love to hear from