2 months ago
Responsibilities
- Build and improve backend services and APIs using REST, gRPC, and event-driven systems.
- Take scoped features from technical design through implementation, testing, deployment, and maintenance.
- Develop reusable platform components and developer-facing tooling.
- Work with databases, queues, caches, and distributed systems, including consistency, retries, idempotency, and failure modes.
- Improve latency, throughput, reliability, and cost through profiling, observability, and system design.
- Contribute to systems supporting AI inference, data pipelines, and customer-facing workflows.
- Collaborate with Product, ML, Infrastructure, and customer-facing teams to translate needs into technical solutions.
- Participate in code reviews, architecture discussions, and technical problem-solving.
Requirements
- Be a current undergraduate junior or senior graduating no later than June 2028 and pursuing a degree in Computer Science, Engineering, or a related technical field.
- Have strong foundations in data structures, algorithms, object-oriented programming, systems, and databases.
- Have experience building software in Go, TypeScript, Rust, Python, Java, C++, or a similar language.
- Have built a backend service, API, data-intensive application, or developer tool through coursework, an internship, research, or a personal project.
- Understand or be eager to learn API design, databases, distributed systems, and reliability concepts.
- Be comfortable with Git, testing, and debugging, with interest in cloud or containerized deployment.
- Be able to break down ambiguous problems, communicate clearly, take ownership, and seek feedback.
Benefits
- Internship dates are May 31, 2027–August 6, 2027 or July 5, 2027–September 10, 2027.
- Competitive internship compensation.
- Hands-on mentorship from experienced AI engineers and researchers.
- Opportunity to work on real production systems used globally.
- Potential return-offer consideration for future internships or full-time roles.
- Daily lunches if onsite.
About Brain Co.
We're building an AI platform and applications for the world's most important institutions. Learn more at https://brain.co/