Staff Product Engineer (Enterprise AI)

Join Thunderbird Technologies Corporation as a Staff Product Engineer (Enterprise AI). In this role, you will be a full-stack engineer responsible for building features, integrations, and customizations for Thunderbolt, an open-source AI client. You will work directly with technical partners and enterprise customers, support deployments, diagnose complex issues, and maintain customer-specific customizations. You will also contribute to product roadmap discussions and documentation. This position offers a range of benefits, including health and wellness coverage, mental health support, parental leave, financial incentives, learning and development opportunities, and more.

• Construire et expédier des fonctionnalités full-stack, des intégrations et des personnalisations spécifiques aux clients dans la base de code de Thunderbolt, de l'interface utilisateur frontale aux API, services et configurations de déploiement.
• Travailler directement avec des partenaires techniques et des clients d'entreprise pour comprendre leurs environnements, leurs exigences et leurs contraintes, et les transformer en plans techniques et en logiciels fonctionnels.
• Diagnostiquer et résoudre des problèmes complexes dans l'application, l'infrastructure, l'identité et l'accès, l'intégration et les couches d'accès aux données, y compris les bogues et les régressions nécessitant un changement de code et une publication.

• Judgment about when to build something custom, when to generalize it into the product, and when to push back on a request
• Solid understanding of enterprise deployment concerns, including authentication and identity providers, access control, self-hosted and hybrid infrastructure, observability, and reliability
• Clear communication skills with both technical implementers and non-technical stakeholders, including being honest about what the product can and can’t do today
• Meaningful experience working directly with customers, partners, or systems integrators in a technical capacity where you also wrote the code. Forward deployed, embedded, consulting, and implementation engineering work all count
• Experience building or supporting AI-enabled applications, such as LLM platforms, RAG systems, agents, enterprise search, or data connectors
• Comfort operating independently in an early-stage product where requirements, architecture, and processes are still taking shape
• Strong full-stack engineering skills, including modern TypeScript or JavaScript, component-based front-end frameworks, and back-end services, APIs, and integrations
• 10+ years of professional software engineering experience, including significant time building and shipping production applications with Staff-level scope and impact
• Strong collaboration skills, including experience working closely with product managers, designers, engineers, and other cross-functional stakeholders
• Experience with Docker, Kubernetes, CI/CD, and cloud deployment
• Experience with self-hosted, private cloud, sovereign, or regulated deployment environments
• Experience working with European enterprise or public sector customers, or 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
• Strong communication and documentation skills are essential for effective collaboration across time zones and disciplines
• We may consider candidates with strong skills but less than the required experience. Title, level and compensation will be determined based on qualifications and experience