AI Platform Engineer, 2027 New Grad

About the Role

As an AI Platform Engineer at Brain Co., you'll help build the backend services and shared capabilities behind our AI products. You'll solve technical problems, develop reliable software, and collaborate with Product and ML teams to bring AI applications to enterprise and government customers.

This full-time, entry-level role is designed for candidates completing a bachelor's degree in Spring 2027. You'll turn cutting-edge AI into systems that important institutions can depend on, taking ownership of clearly scoped projects involving APIs, distributed services, and developer tooling. You'll work closely with experienced engineers, with support through code reviews, design discussions, and ongoing collaboration.

What You'll Work On

• Design and build backend services and data pipelines that power Brain Co.'s AI products. Own scoped projects across implementation, testing, and maintenance, with guidance from experienced engineers.
• Build tools that accelerate AI product development, including ML experiment tracking, artifact management, and automated training and evaluation pipelines.
• Help build reliable systems for enterprise and government customers, with attention to testing and handling common failure cases.
• Design modular, reusable components and clean APIs (REST, gRPC). Use profiling to improve application latency and throughput.
• Partner with engineering, Product, and ML teams to build shared platform capabilities that remove bottlenecks and reduce the time it takes to ship new AI products.

You Might Be a Great Fit If You…

• Expect to complete a bachelor's degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field in Spring 2027.
• Have solid foundations in data structures, algorithms, and databases, with familiarity with API design and testing.
• Are comfortable writing and debugging code in at least one language such as Python, Go, TypeScript, Rust, Java, or C++.
• Have built a backend service, API, data-intensive application, or developer tool through an internship, research, coursework, or a personal project.
• Are curious about how systems work under the hood and eager to learn distributed-systems concepts such as consistency, failure handling, retries, and idempotency.
• Care about building intuitive, well-documented, and maintainable APIs and shared tools for internal ML and product teams.
• Enjoy breaking down open-ended problems into clear technical designs, reasoning from first principles, and communicating your ideas.
• Take ownership of your work, care about its quality over time, and actively seek feedback and guidance when needed.