AI Platform Engineer, Backend Capabilities
Brainco · San Francisco Bay Area
About this role
## AI Platform Engineer, Backend Capabilities ### 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 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—where every project ships to production and is expected to create measurable customer value and impact. --- ### About the Role As an **AI Platform Engineer**, you will build the shared backend services and technical capabilities that help us scale our AI products quickly, safely, and reliably. You’ll take ambiguous product and technical challenges, turn them into clear system designs, and ship robust platforms that support real-world AI applications for the world’s most important institutions. You’ll own backend services from design through production, partnering closely with **Product, ML, and Infrastructure** on system design and technical tradeoffs. --- ### What You’ll Work On - **Design, build, and operate** platform backend services and data pipelines powering Brain Co.’s AI products (end-to-end lifecycle: architecture → implementation → deployment → long-term maintenance). - Build critical systems that accelerate AI product development, including scalable solutions for **ML experiment tracking, artifact management, and automated training/evaluation pipelines**. - Engineer **highly available, fault-tolerant** systems with deep **observability** to meet strict uptime and latency SLAs. - Create **modular, scalable architectures** with clean APIs (**REST, gRPC**) and **event-driven services**, with a long-term platform mindset. Continuously profile to optimize **latency, throughput, and costs**. - Partner across teams to build shared platform capabilities that remove bottlenecks and reduce time to ship new AI products. --- ### You Might Be a Great Fit If You - Have **2+ years** building and scaling production backend services/platforms, with strong proficiency in **Python, Go, Rust, TypeScript, C++, or similar**. - Understand distributed systems fundamentals: **consistency, availability, failure modes, retries, and idempotency**. - Can break down complex, open-ended problems into clear technical designs—moving from first principles to production-ready systems with both speed and rigor. - Treat internal ML and product teams as primary customers; experience building **shared infrastructure, internal platforms, or developer-facing services** with intuitive, well-documented APIs. - Have a track record of owning services with real uptime expectations; design for observability from day one (**metrics, logging, tracing**) and take responsibility for incident response/on-call. - Treat the platform as your own—owning the end-to-end lifecycle and making pragmatic tradeoffs between immediate needs and long-term platform health. --- ### Bonus Points For - Experience with **AI/ML platforms** or inference systems (e.g., **Weights & Biases, MLflow, ClearML**, or orchestrators like **Ray, Flyte, Kubeflow**). - Experience designing/operating **high-throughput data pipelines** and resilien
Listing freshness
CronJobs last confirmed this listing 51m ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.