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Alpaca is seeking a Senior AI Platform Engineer to build and maintain AI infrastructure, enabling safe and scalable AI usage across the company. This remote role requires hands-on experience with agentic AI systems and cloud-native technologies.
Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totaling over 9 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Your Role
- 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.
Who You Are (Must-Haves)
- 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.
How We Take Care of You:
- 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.