AI Platform Engineer, Backend

📋 Description

• • At Brain Co., we are at the forefront of transforming advanced Artificial Intelligence research into tangible, real-world impact. We specialize in building the critical infrastructure that enables the productionization of AI, particularly within government and highly regulated industries where manual workflows still prevail. Our core mission is to ensure AI systems are not just functional but are also reliable, scalable, and dependable in practical, high-stakes applications. This means we go beyond mere demonstrations and models to engineer robust platforms that meticulously support complex workflows, integrate human-in-the-loop processes, and deliver production-grade reliability at an enterprise scale.
• • As an AI Platform Backend Engineer at Brain Co., you will be entrusted with the ownership and development of the core backend systems that form the bedrock of our AI platform. This is a foundational role with immense leverage; your contributions will directly empower product teams, ML engineers, and customer deployments, enabling them to operate with greater speed and enhanced safety. You will be instrumental in designing and operating backend services that adeptly support intricate AI workflows, including multi-step reasoning, sophisticated tool utilization, and nuanced human-in-the-loop interactions. A paramount focus will be placed on scalability, unwavering reliability, and an exceptional developer experience.
• • You will guide systems from their nascent stages of technical exploration all the way through to their successful production deployment. This often involves navigating ambiguous problem spaces where your ability to define and articulate the optimal solution will be crucial. This role offers a significant degree of autonomy and presents a compelling opportunity for you to evolve into a broader technical and organizational leadership position over time.
• • **Own Core Backend & Platform Systems:** Take full end-to-end ownership of designing, building, and operating the foundational backend services and data pipelines that are essential to Brain Co.'s AI platform. This encompasses everything from initial architecture and implementation to deployment and ongoing long-term maintenance, ensuring the platform's continued success and evolution.
• • **Design for Scale, Reliability, and Correctness:** Architect and implement systems that are built with stringent guarantees around correctness, robust fault tolerance, and comprehensive observability. Your designs will be geared towards meeting and exceeding the demanding uptime expectations characteristic of enterprise and government environments, where system failures can have significant consequences.
• • **Architecture & APIs:** Develop modular, reusable backend architectures and define clear, efficient APIs using industry-standard protocols such as REST, gRPC, and event-driven patterns. You will be expected to make well-reasoned architectural trade-offs, always with a forward-thinking, long-term platform perspective in mind.
• • **Solve Ambiguous Systems Problems:** Tackle open-ended and complex system challenges by breaking them down into clear, actionable technical designs. You will be expected to move efficiently and rigorously from first principles to fully production-ready systems, demonstrating a strong problem-solving aptitude.
• • **Optimize Performance and Cost:** Continuously strive to improve system performance by optimizing latency, increasing throughput, and enhancing cost efficiency. This will involve thorough profiling, thoughtful system design, and iterative refinement of existing solutions.
• • **Collaborate Across Functions:** Work in close partnership with Product Management, Machine Learning Engineering, Infrastructure teams, and customer-facing teams. Your efforts will focus on enabling these groups by building systems that are not only powerful but also intuitive, reliable, and genuinely developer-friendly, fostering a collaborative and productive ecosystem.
• • Your work will have a profound impact, directly shaping how AI systems are conceived, deployed, and ultimately trusted in some of the most critical and impactful environments globally. You will play a pivotal role in translating cutting-edge AI capabilities into dependable, production-grade systems that governments and enterprises can rely upon with confidence.