[Hiring] Senior AI Platform Engineer @Alpaca

Role Description

Alpaca is building an AI Enablement function to move the company from scattered AI experimentation to durable, company-wide productivity gains. As Senior AI Platform Engineer, you will own the technical capability layer that makes that possible.

• Build and maintain the platform infrastructure, connectors, execution patterns, and self-service tooling that lets engineering and business teams use AI safely at scale.
• Turn one-off setups and ad hoc tooling into reusable infrastructure, secure deployment standards, and productized onboarding.
• Hands-on experience building with agentic AI systems is required.
• This is not classical ML pipelines, but the emerging stack of LLM-powered agents, tool use, evaluation loops, and autonomous workflow execution.
• Make opinionated decisions about execution patterns, isolation boundaries, and what "safe and reliable" means for agents with real tool access.
• Work closely with DevOps, Security, IT, and engineering teams across the company.

Qualifications

• 8+ years in software, platform, infrastructure, or adjacent engineering roles.
• Hands-on experience building agentic AI systems: LLM-powered workflows, tool-calling agents, evaluation loops, or autonomous execution.
• Direct experience with GCP.
• Strong experience with APIs, auth, OAuth, secrets, CLI tooling, and deployment patterns.
• Cloud-native systems experience with containers, orchestration (Kubernetes), and infrastructure-as-code.
• Experience implementing AI governance controls: access boundaries, audit logging, approval workflows, and safe deployment standards.
• Comfortable operating in both fast-moving, low-process environments and more structured, compliance-aware ones.
• Strong bias toward simplification, standardization, and operational reliability.
• Excellent communication skills with the ability to work across engineering, security, and non-technical stakeholders.

Requirements

• Shipped production agentic systems with real external tool access (filesystems, APIs, staging systems).
• Hands-on experience with Google Agent Engine (Vertex AI Agent Builder) or equivalent managed agent execution platforms.
• Direct experience with AI-native coding environments (eg. Cursor, Claude Code).
• Designed or operated agent sandboxing, isolation, or evaluation frameworks.
• Built self-service developer platforms or golden paths used by multiple teams.
• Has startup experience and knows how to build durably with limited resources.
• Familiarity with fintech, regulated environments, or compliance-aware deployment.

Benefits

• Competitive Salary & Stock Options
• Health Benefits
• New Hire Home-Office Setup: One-time USD $500
• Monthly Stipend: USD $150 per month via a Brex Card