# Senior AI Platform Engineer

**Company:** [Alpaca](https://hotfix.jobs/companies/alpaca)
**Location:** Remote
**Role:** DevOps / SRE
**Experience:** 8+ years
**Skills:** Agentic AI, Llm Workflows, LangGraph, Claude Sdk, Google Agent Development Kit, GCP, Kubernetes, OAuth, Infrastructure-As-Code, Vertex Ai Agent Builder, Cursor, Claude Code
**Posted:** 2026-05-12

> Builds and maintains AI platform infrastructure for agentic systems, including connectors, execution environments, governance, and self-service tools to enable safe, scalable AI use across engineering and business teams. Requires 8+ years experience with LLM agents, GCP, and cloud-native tech.

## Job Description

## Responsibilities

- Own the connector and service integration layer that powers AI workflows across the company.
- Design and ship execution environments for agents and higher-autonomy AI workflows, including isolation boundaries and access controls.
- Build reusable platform services, golden paths, and self-service templates that reduce setup friction for teams building on AI.
- Productize onboarding so it works reliably for both developers and non-developers without depending on manual intervention or tribal knowledge.
- Define and enforce technical standards for agent execution, evaluation loops, and deployment.
- Partner with Security and IT to ship deployable patterns for higher-risk AI capabilities.
- Own the AI governance layer: access controls, audit trails, approval criteria, and deployment boundaries for agentic workflows.
- Set the reliability, observability, and operational bar for AI-specific infrastructure.
- Act as the technical escalation point when onboarding or platform issues block rollout.
- Reduce the company's dependence on individual heroics by turning exception handling into repeatable paths.

## Requirements

- 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 **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**.
- 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.
- 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.

## Nice-to-Haves

- 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 (e.g. **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.

## Compensation & 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

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**Apply:** https://hotfix.jobs/jobs/92add91c-02ed-439d-9278-a59b1592a794
**Canonical:** https://hotfix.jobs/jobs/92add91c-02ed-439d-9278-a59b1592a794