Senior AI Platform Engineer

🕒 Maio 12

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Alpaca

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🔌 API

💳 Fintech

₿ Cripto

API • Fintech • Crypto

Alpaca é uma empresa de fintech que fornece uma plataforma completa de corretagem e negociação por meio de um conjunto de APIs. Essas APIs permitem que desenvolvedores e empresas integrem trading algorítmico, desenvolvimento de apps e investimentos embutidos aos seus serviços. A Alpaca oferece serviços como negociação de ações dos EUA, ETFs e criptomoedas, com opções para transações em moeda local. A empresa é reconhecida por suas práticas de segurança cibernética e é membro da FINRA e da SIPC. A Alpaca é ideal para startups de fintech, broker-dealers, hedge funds e outras empresas de serviços financeiros que buscam criar aplicações e plataformas de negociação sofisticadas, com o mínimo de fricção, por meio de sua Broker API bem documentada.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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