高级 AI 平台工程师
Senior AI Platform Engineer
我们是谁：
Alpaca 是一家总部位于美国的全球领先代理优先经纪基础设施公司，服务于股票、ETF、期权、加密货币、固定收益、24/5 小时交易等。
在我们的子公司中，Alpaca 是一家持牌金融服务公司，通过我们机构级 API 为全球 40 个国家的数百家金融机构提供服务。这包括经纪自营商、投资顾问、财富管理公司、对冲基金和加密货币交易所，总计超过 1000 万笔经纪账户。
我们的全球团队由经验丰富的工程师、交易员和经纪专业人士组成，他们致力于实现我们让全球每个人都能享受金融服务的使命。我们高度重视开源贡献，积极培育活跃的社区，持续提升我们获奖的、开发者友好的 API 及其背后的强大基础设施。
Alpaca 获得了来自顶级全球投资者的 4 亿美元融资，包括 Portage Ventures、Spark Capital、Tribe Capital、Social Leverage、Horizons Ventures、Opera Tech Ventures、SBI Group、Derayah Financial、Unbound、Peak XV、Elefund 和 Y Combinator。
我们的团队成员：
我们是一个由 400 多名成员组成的动态团队，成员分布在全球各地，可以在他们最喜欢的地方工作，团队成员遍布美国、加拿大、日本、匈牙利、尼日利亚、巴西、英国等地！
我们正在寻找充满热情的人士，希望为 Alpaca 的快速发展做出贡献。如果你认同我们的核心价值观——保持好奇、富有同理心、勇于负责，并准备好产生重大影响，我们鼓励你申请。
你的角色
Alpaca 正在构建一个 AI 赋能功能，将公司从零散的 AI 实验转变为可持续的全公司范围内的生产力提升。作为高级 AI 平台工程师，你将负责实现这一目标的技术能力层。
你将构建和维护平台基础设施、连接器、执行模式以及自助工具，使工程和业务团队能够安全地大规模使用 AI，通过将一次性设置和临时工具转化为可重用的基础设施、安全的部署标准和产品化的接入流程。
该职位需要有实际构建代理 AI 系统的经验。这不是传统的 ML 流水线，而是由 LLM 驱动的代理、工具使用、评估循环和自主工作流执行构成的新兴技术栈。你应该对该领域有深入了解，能够就执行方案做出有观点的决策。
查看英文原文
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
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, totalling over 10 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.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role
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.
You will build and maintain the platform infrastructure, connectors, execution patterns, and self-service tooling that lets engineering and business teams use AI safely at scale by turning one-off setups and ad hoc tooling into reusable infrastructure, secure deployment standards, and productized onboarding.
This role requires hands-on experience building with agentic AI systems. This is not classical ML pipelines, but the emerging stack of LLM-powered agents, tool use, evaluation loops, and autonomous workflow execution. You should know this space well enough to make opinionated decisions about execution patterns, isolation boundaries, and what "safe and reliable" actually means for agents with real tool access.
This is a startup-inside-a-scaleup role. You will need to move fast with limited resources while meeting the standards a regulated fintech environment requires. You will work closely with DevOps, Security, IT, and engineering teams across the company.
Things You Get To Do
- 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.
Who You Might Be (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 (eg. Cursor, Claude Code). You have strong opinions on how these tools fit into a real engineering workflow.
- 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.
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
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
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