Shakudo Series A

Forward Deployed Engineer

Toronto On-site Senior (6+ yrs) Added Jun 16

About the role

At Shakudo, we’re building the world’s first operating system for data and AI. We use the term “operating system” in the truest sense: just like iOS, Windows, or Linux, Shakudo’s end-to-end OS provides ever-evolving, fully automated, best-in-class open-source components tailored to each business’s unique needs. We are seeking a senior Forward Deployed Engineer to join our Platform team and work directly with strategic customers to turn business problems into production AI and data systems. This is a highly technical, customer-facing role for someone who can move between customer conversations, system design, data engineering, AI application development, Kubernetes, cloud infrastructure, and production support. In this role, you will own the path from discovery to production: understanding the customer’s workflows and data, designing the solution, building and deploying it on Shakudo, and helping the customer adopt it in real operations. This is an outcome-based engineering role. A successful engagement is not a demo, a prototype, or an installation. It is a live, governed, adopted workflow that improves how the customer operates and is tied to a clear business result.

Industry

AI / Enterprise Data Stack

Top skills for this role

  • Kubernetes and cloud-native infrastructure (5+ years)
  • 2. LLM/AI application development including RAG and agents
  • 3. End-to-end customer solution ownership from discovery to production

Languages

Python (primary)others implied by data engineering context

Frameworks & tools

KubernetesDockerAWS/Azure/GCPRAG systemsdata pipelinesETL/ELTobservability toolingsecrets managementnetworking/storage/identity

AI / ML skills

RAGAI agentsLLM application developmentevaluation frameworksworkflow automationproduction AI systemsagentic workflows

Customer skills

Customer discovery conversations, translating business problems to technical solutions, owning path from discovery to production, helping customers adopt solutions in real operations

Domain knowledge

Enterprise AI/data infrastructure; cloud, hybrid, on-prem, private cloud, and air-gapped environments

Travel: Not specified
Equity: Not listed

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