Senior AI Platform Engineer
New
A
Alpaca Fintech
Remote - North America (EST), ESTFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- GCPKubernetesOAuth
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.
- Experience using frameworks like Claude SDK, Google Agent Development Kit (ADK), LangGraph, or similar.
- Direct experience with GCP (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.
- Excellent communication skills with the ability to work across engineering, security, and non-technical stakeholders.
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.
- 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.
- Set the reliability, observability, and operational bar for AI-specific infrastructure.
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