AI Platform Engineer, 2027 New Grad

Brain Co.; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Daily lunches (onsite)

Job summary

Brain Co. seeks an entry-level AI Platform Engineer to help build backend services and shared capabilities behind our AI products. You will collaborate with Product and ML teams to deliver solutions secured for enterprise and government customers.

This full-time role targets graduates completing a bachelor’s degree in Spring 2027. You’ll work on APIs, distributed services, and developer tooling, with code reviews, design discussions, and ongoing mentorship from senior engineers.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Machine Learning, Data Science, or related field with Spring 2027 graduation.
• Strong foundations in data structures, algorithms, and databases.
• Familiarity with API design and testing.
• Proficiency in at least one language such as Python, Go, TypeScript, Rust, Java, or C++.
• Experience building a backend service, API, data-intensive application, or developer tool through internship, research, coursework, or personal project.
• Curiosity about systems, distributed-systems concepts like consistency, failure handling, retries, idempotency.
• Interest in building well-documented APIs and shared tools for ML/product teams.
• Ability to break down problems into clear designs and communicate ideas.

Responsibilities

• Design and build backend services and data pipelines powering Brain Co.’s AI products.
• Build tools to accelerate AI product development, including experiment tracking and automated pipelines.
• Help build reliable systems for enterprise and government customers with a focus on testing and failure handling.
• Design modular, reusable components and clean APIs (REST, gRPC).
• Collaborate with engineering, Product, and ML teams to expand platform capabilities.

Skills

Python

Go

TypeScript

Rust

Java

C++

Data structures

Algorithms

APIs

Testing

Distributed systems

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Engineering

Spring 2027 graduation

Tools

REST

gRPC

ML experiment tracking

Job description

Our Mission

Rebuild how the world works, to make institutions work better for the people they serve.

About Brain Co.

Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.

Why Now

Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.

Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.

You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.

At Brain Co., new-grad engineers contribute to real production systems and see their work deployed at global scale.

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.

Job Details & Benefits

• Eligibility: Completing a bachelor’s degree in Spring 2027.

• Competitive full-time compensation and benefits

• Support and feedback from experienced platform engineers

• Opportunity to work on real production systems used globally

• Meaningful ownership from day one, with room to grow alongside the team

• Daily lunches (if onsite)