AI Product Engineer, 2027 New Grad
Brain Co.
About the Role
As an AI Product Engineer, you will work closely with cross-functional teams and leaders to design, build, and deploy AI-powered software that solves real-world problems. This is a highly hands-on role with ownership across the full product lifecycle, from understanding customer needs to shipping production-grade AI applications. You’ll contribute directly to live projects used by governments, healthcare systems, and industrial partners, turning cutting-edge AI into reliable, scalable products.
Key Responsibilities
- Build & Ship Real Products:
- Design and develop AI-powered features across front-end, back-end, and data workflows.
- Prototype and ship internal tools and customer-facing applications using modern web technologies.
- Translate Problems into Products:
- Work with product managers and other engineers to turn customer problems into clear product requirements and integrate AI models into real-world software systems.
- Optimize & Improve:
- Improve the performance, reliability, and usability of deployed applications.
- Analyze data, evaluate AI outputs, and iterate based on real customer feedback.
- Make a Real Impact:
- Own work that modernizes government workflows, improves healthcare outcomes, or optimizes critical infrastructure.
- See your work deployed and used by real users—not just internal demos.
Requirements & Tech Stack
- Strong software development fundamentals demonstrated through internships, research, substantial coursework, or personal projects.
- Ability to build software using several of: Python, TypeScript, React, REST APIs, SQL, and cloud platforms.
- Understanding of the fundamentals of AI systems and product thinking.
- Excitement for real-world machine learning applications.
- Enjoyment in solving ambiguous problems and learning quickly in fast-paced environments.
- Clear communication, good collaboration, and ownership of your work.
- Excitement to work directly on impactful problems rather than purely theoretical projects.
Qualifications
- Expect to complete a bachelor’s or master’s degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field in Spring 2027.