Staff Product Engineer, Enterprise AI

Remote · CAD 155,000-185,000 · 10+ years experience · Remote · Posted Oct 1, 2026

At a glance

The Staff Product Engineer for Enterprise AI will build and ship full-stack features, integrations, and customizations for Thunderbolt, an open-source AI client.
This role involves working directly with technical partners and enterprise customers to understand their environments and translate requirements into working software.
The engineer will diagnose complex issues across the application and infrastructure layers while helping to evolve the product roadmap.

Build and ship full-stack features, integrations, and customer-specific customizations in the Thunderbolt codebase.
Work directly with technical partners and enterprise customers to turn requirements into technical plans and working software.
Support pilots, proofs of concept, and early production deployments.
Diagnose and fix complex issues across the application, infrastructure, identity, and data-access layers.
Maintain customer-specific customizations as the core product evolves.
Identify customer requests that should become general product capabilities.
Bring real-world deployment feedback into roadmap and prioritization discussions.
Write documentation, deployment guidance, and runbooks for partners.
Use AI-assisted development tools while maintaining judgment regarding quality, security, and maintainability.

10+ years of professional software engineering experience with Staff-level scope and impact.
Strong full-stack engineering skills including modern TypeScript or JavaScript, component-based front-end frameworks, and back-end services.
Experience working directly with customers, partners, or systems integrators in a technical capacity.
Experience building or supporting AI-enabled applications such as LLM platforms, RAG systems, agents, or enterprise search.
Understanding of enterprise deployment concerns including authentication, access control, self-hosted infrastructure, and observability.
Clear communication skills with both technical implementers and non-technical stakeholders.
Ability to operate independently in an early-stage product environment.
Must reside in and have permanent work authorization for Canada.

Experience with self-hosted, private cloud, sovereign, or regulated deployment environments.
Experience with Docker, Kubernetes, CI/CD, and cloud deployment.
Experience working with European enterprise or public sector customers.
Experience with data residency and sovereignty requirements.
Experience supporting security reviews, privacy assessments, or enterprise procurement processes.
Open-source contributions or experience in open, highly collaborative engineering environments.

Fully remote position.
Regular overlap with European business hours is expected due to customer and partner locations.