Invoca
Staff AI Platform Engineer
Remote - US & Canada (see posting for locations) · Staff+
No sponsorshipDetected 54 days ago
JavaScriptTypeScriptPythonReactDistributed SystemsVector DatabasesDockerKubernetesCI/CDPlatform EngineeringRESTgRPCMachine LearningData ScienceAgentic AILangGraphAI OrchestrationA/B TestingDesign SystemsAuditingCollaborationMentoring
About the role
- 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.
Responsibilities
- 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.
- You will not be building isolated AI features; you will be creating the shared platform capabilities, standards, and operating model that enable many teams to build AI products quickly, safely, and consistently.
- Design and evolve the core libraries, SDKs, APIs, and shared services that standardize how teams build agentic and GenAI-powered products at Invoca.
- Create modular platform components for orchestration, retrieval, tool execution, workflow composition, adoption of latest protocols and standards, and A2A/MCP-compatible interoperability that product teams can use to build production-grade AI systems.
- Build the shared evaluation infrastructure that enables teams to measure and improve AI quality through datasets, scoring pipelines, experiment workflows, and CI/CD-integrated offline and online evaluations.
- Develop the systems and tooling for prompt management, context versioning, templating, testing, and governance so teams can iterate safely and consistently on AI applications.
- Build/Establish the serving, routing, and control layers between applications and model providers, ensuring strong production performance, cost efficiency, policy enforcement, and operational resilience.
Requirements
- You'll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes.
- 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.
- You have built frameworks using them to solve various AI concerns for developers.
- You have built or contributed to tracing, quality measurement, automated evaluation, or other systems that help teams understand and improve AI system performance.
- Familiarity with Kubernetes, Docker, and Terraform.
- We're looking for a creative and driven AI Platform Engineer who is excited to tackle complex problems and build impactful solutions.
Nice to have
- Familiarity with MCP-style interfaces, tool interoperability patterns, or workflow schemas
- Experience with multi-tenant platform design, governance, or enterprise-grade controls
- Experience creating reference implementations, templates, or internal developer platforms
- 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.
Skills
- Intermediate to Expert level proficiency with TypeScript/JavaScript, React, and other web technologies.
- Infrastructure as Code: Familiarity with Kubernetes, Docker, and Terraform.
- Web
- It would be a strong bonus if you have:
- Experience with agent frameworks and orchestration runtimes such as LangGraph, LangChain, LiveKit or similar systems
- Experience with model gateways, inference infrastructure, or provider-routing layers
- Experience with retrieval systems, vector databases, and context-management infrastructure
Compensation
- Salary, Benefits & Perks:
Benefits
- 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.
- 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.
- 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.
- At Invoca, all new hires in the U.S. receive benefits starting on day one of employment.
- Our benefits offerings include:
- Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations.
Company info
- 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.
- 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
Visa & Work Authorization
- Please note that we are unable to provide initial visa sponsorship for this position.
This listing is sourced directly from Invoca's careers page and normalized into a canonical job model.