Staff AI Platform Engineer

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

💵 $180.000 - $273.000 / Jahr

⏰ Vollzeit

🔴 Experte

🏗️ Plattformingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Invoca

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2012

🤖 Künstliche Intelligenz

🤝 B2B

📡 Telekommunikation

Artificial Intelligence • B2B • Telecommunications

Invoca ist ein führender Anbieter einer Revenue-Execution-Plattform, die Marketing-, Vertriebs- und Kontaktzentren dabei unterstützt, mehr Umsatz zu generieren. Sie sind spezialisiert auf Call Tracking, künstliche Intelligenz und Interaktionsmanagement, um das Umsatzwachstum zu optimieren. Ihre innovative Plattform verbindet Marketinginvestitionen direkt mit Offline-Verkäufen durch KI-Funktionen und bietet detaillierte Einblicke in das Käuferverhalten bei Anrufen. Invoca unterstützt eine Vielzahl von Branchen, darunter Automobil-, Finanzdienstleistungen, Gesundheitswesen, Hausdienste, Versicherungen, Einzelhandel, Telekommunikation sowie Reise & Gastgewerbe. Das Unternehmen ist dafür bekannt, Unternehmen dabei zu helfen, Werbeausgaben zu optimieren und die Kampagnenleistung durch vollständige Attribution für jeden Anruf zu verbessern.

Beschreibung

• Design and maintain the core APIs, SDKs, libraries, and services that standardize how teams at Invoca build AI and agentic capabilities. • Build the platform components that product teams can assemble into real applications, such as orchestration building blocks, tool interfaces, workflow contracts, context-handling systems, and retrieval primitives. • Build the shared evaluation framework that enables teams to test AI systems consistently and at scale, including CI/CD integration, dataset and experiment workflows, scoring pipelines, and support for offline and online evaluation. • Help define the contracts, schemas, and interfaces that allow tools, runtimes, and services to work together cleanly including platform patterns for MCP-style interoperability, tool discovery, and agent-to-agent or agent-to-system interactions. • Design and improve the serving, routing, and control layers ensuring low latency, high availability, cost efficiency, and strong production behavior. • Build and enforce platform capabilities that make AI systems measurable, debuggable, and governable, including tracing, auditing, and policy enforcement. • Create tools, templates, documentation, and reference implementations that make the platform easy to adopt and hard to misuse. • Influence architecture, standards, and long-term technical strategy for AI Platform by identifying patterns across teams and converting them into reusable platform solutions.

🎯 Anforderungen

• 7+ years of professional experience in Platform engineering in AI/ML disciplines, with a strong focus on building shared infrastructure, platform products, developer tooling, or foundational backend systems used by a large number of users. • You have worked on the infrastructure and framework layers behind AI systems such as agent orchestration, model-serving abstractions, evaluation systems, retrieval infrastructure, prompt/context tooling, MCP/A2A stack, platform APIs for AI development, etc. • You care deeply about developer experience. You know how to design systems, interfaces, and abstractions that engineers actually want to use. • You are highly effective in Python and/or TypeScript and are comfortable designing resilient services, APIs, asynchronous systems, and distributed workflows. • You have designed robust, typed, well-structured interfaces such as REST, gRPC, SDKs, or platform contracts that support long-term extensibility and adoption. • You haven't just used frameworks like LangChain, LangGraph or LlamaIndex; you understand how they work under the hood and know when to abstract them away. • You understand latency, throughput, reliability, token/cost management, model-provider integration, and the realities of running AI systems in production. • You have built or contributed to tracing, quality measurement, automated evaluation, or other systems that help teams understand and improve AI system performance. • You know how to take repeated engineering problems and turn them into reusable golden paths, shared components, and organizational standards. • Familiarity with Kubernetes, Docker, and Terraform. • Intermediate to Expert level proficiency with TypeScript/JavaScript, React, and other web technologies. • Bachelor's Degree in Computer Science, Engineering, or a related field (or equivalent practical experience). An advanced degree (Master's or Ph.D.) is a strong plus.

🏖️ Vorteile

• Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed. • Paid Holidays – Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family. • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included. • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%. • Stock Options – All employees are invited to share in Invoca’s success through stock options. • Mental Health Program – Well-being support on a broad range of issues is available through our SpringHealth program. • Paid Family Leave – Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members. • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs. • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service. • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more.