Staff AI Platform Engineer

About Invoca

Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture.

About the Engineering Team

You’ll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between.

We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other.

About the Role

We are hiring a Staff AI Platform Engineer to help build the core platform that powers AI development at Invoca. This role is not focused on building isolated AI features or one-off model applications; this is a platform engineering role. You will design and build the reusable systems, abstractions, interfaces, and operating standards that enable product teams to develop, ship, and operate AI capabilities quickly and safely. You will work at the intersection of developer experience, backend systems, AI infrastructure, and platform architecture. Your job is to turn common AI development problems into durable platform capabilities: SDKs, APIs, gateways, orchestration primitives, evaluation frameworks, context-management tooling, and governance mechanisms that can be used broadly across teams. The right person for this role thinks in terms of platform as a product. You care not only about technical correctness, but also adoption, ergonomics, standardization, and long-term leverage. You know how to create opinionated golden paths that help teams move faster without sacrificing reliability, observability, or governance.

What you’ll have the opportunity to do:

• Build the AI platform foundations: Design and maintain the core APIs, SDKs, libraries, and services that standardize how teams at Invoca build AI and agentic capabilities.
• Create reusable agentic platform primitives: 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.
• Own platform-level evaluation infrastructure: Build the shared evaluation framework that enables teams to test AI systems consistently and at scale. This includes CI/CD integration, dataset and experiment workflows, scoring pipelines, and support for offline and online evaluation.
• Standardize orchestration and interoperability: Help define the contracts, schemas, and interfaces that allow tools, runtimes, and services to work together cleanly. This includes platform patterns for MCP-style interoperability, tool discovery, and agent-to-agent or agent-to-system interactions.
• Build for production scale and reliability: Design and improve the serving, routing, and control layers that sit between applications and model providers. You will help ensure low latency, high availability, cost efficiency, and strong production behavior.
• Drive observability and governance: Build and enforce the platform capabilities that make AI systems measurable, debuggable, and governable in production, including tracing, auditing, and policy enforcement.