Senior AI Platform Engineer

Alpaca - Remote - North America (EST)

Engineer Verified May 31, 2026 Source: alpaca.markets

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce

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 — using frameworks like the Claude SDK, Google Agent Development Kit (ADK), LangGraph, or similar. Not classical ML or data pipelines.
Direct experience with GCP. We run on Google Cloud and you should be comfortable there.
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 for higher-autonomy systems.
Comfortable operating in both fast-moving, low-process environments and more structured, compliance-aware ones. You know when to move fast and when to slow down.
Strong bias toward simplification, standardization, and operational reliability over clever one-off solutions.
Excellent communication skills with the ability to work across engineering, security, and non-technical stakeholders.

Apply on the original posting