Hiring: AI Platform Engineer, Agentic Engineering Company: Brain Co. Location: San Francisco Bay Area Job Posted Time: 2026-09-12 18:03:52 Target Skills & Keywords : Go, Kind, LLM, Make, Python, Rust, SAFe, TypeScript About the job Experience: •5+ years building backend systems in production, with deep proficiency in at least one of Python, TypeScript, Go, or Rust. Required Skills: •You'll join the team that builds and enables agentic workflows across Brain Co. For every engineer, operator, and business team internally, and for the production AI systems we deploy to governments, healthcare systems, and critical industries. This is a platform role at the center of the company's agent-first strategy: you'll build foundational systems used by every engineering team, and the bar is product-grade because the entire company depends on them. •What You’ll Work On •Own the foundations of how LLMs are used across the company: cost visibility and controls, data privacy, identity and access, routing, and the security posture around all provider traffic. •Design the sandboxing, orchestration, audit, and guardrail layers that product teams build their agents on, so verticals don't need to invent their own abstraction. •Solve the hard problems: prompt-injection defenses, scoped credentials, kill switches, multi-tenant isolation (including VM-level pod isolation), and runaway-cost controls. •Design the orchestration, isolation, and resource models that make this viable: cold-start vs. always-on tradeoffs, credential and token lifecycle, fan-out and fan-in patterns, fairness and quota enforcement across tenants, and the observability needed to debug at that volume. •Make AI-assisted development a first-class platform layer: coding agents that review and ship code, automate CI, refactor at scale, and run as background workers across the codebase, together with the canonical scaffolding and guardrails that govern them. •Build the systems that let every team; engineering, operations, and the business, run their own agents reliably and safely against the tools they already use, with the right credentials, scheduling, memory, and audit underneath. •End-to-end ownership: architecture, implementation, rollout, observability, on-call, and iteration based on internal user feedback. •Partner closely with security, infrastructure, and product teams to make agent deployments safe by default. •You Might Be a Great Fit If You… •Have 5+ years building backend systems in production, with deep proficiency in at least one of Python, TypeScript, Go, or Rust. •Bring strong fundamentals in distributed systems: consistency, idempotency, retries, failure modes, queueing, scheduling. •Have designed and operated APIs and services that other engineers depend on. •Have a proven track record building shared infrastructure, internal platforms, or developer-facing ser Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!