AI Platform Engineer, Agentic Engineering

Brain Co. is an applied AI startup focused on delivering impactful AI applications for critical institutions. The AI Platform Engineer will build foundational systems to support agentic workflows across the company, ensuring reliability and security for AI systems deployed in governmental and healthcare environments.

Responsibilities:

• 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