Senior AI Platform Engineer

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Alpaca

Site WebLinkedInTous les Emplois

201 - 500 employés

🔌 API

💳 Fintech

₿ Crypto

API • Fintech • Crypto

Alpaca est une fintech qui propose une plateforme complète de courtage et de trading via une suite d’API. Ces API permettent aux développeurs et aux entreprises d’intégrer le trading algorithmique, le développement d’applications et l’investissement embarqué à leurs services. Alpaca propose des services tels que le trading d’actions américaines, d’ETF et de cryptomonnaies, avec des options de transactions dans la devise locale. L’entreprise est reconnue pour ses pratiques de cybersécurité et est membre de la FINRA et de la SIPC. Alpaca s’adresse idéalement aux startups fintech, aux courtiers-négociateurs (broker-dealers), aux hedge funds et à d’autres acteurs des services financiers qui souhaitent créer des applications et des plateformes de trading avancées, avec un minimum de frictions, grâce à leur Broker API bien documentée.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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