Principal AI Engineer

We're looking for a Staff or Principal AI Engineer to help build SeekrFlow Edge Builder, the platform that makes it simple to package, configure, deploy, and operate trustworthy AI solutions across edge, on-premises, cloud, disconnected, and air-gapped environments. You will work across AI, software, infrastructure, and security layers to turn complex deployment requirements into reliable, reusable product capabilities. 

The Impact 
Your work will help customers run mission-critical AI closer to their data and users, including in environments with limited connectivity, strict security requirements, and constrained hardware. You will shape the product architecture, developer experience, and operational foundations that make AI deployments repeatable, secure, observable, and easy to manage at scale. 

Duties and Responsibilities 

• Design and build core capabilities of SeekrFlow Edge Builder for packaging, configuring, deploying, and operating AI solutions at the edge.
• Develop workflows that assemble models, agents, data pipelines, APIs, and supporting services into repeatable edge deployments.
• Build abstractions and tooling for deploying AI workloads across cloud, on-premises, edge, disconnected, and air-gapped environments.
• Implement model and service lifecycle capabilities, including versioning, configuration, validation, upgrades, rollback, and compatibility management.
• Develop infrastructure and orchestration components for containers, Kubernetes, local inference, hardware accelerators, storage, and networking.
• Build optimization features that account for device capabilities, CPU/GPU availability, memory, storage, bandwidth, power, and latency constraints.
• Integrate model-serving runtimes, data connectors, APIs, observability components, security controls, and enterprise systems into the platform.
• Create automated preflight checks, deployment validation, health monitoring, diagnostics, and recovery workflows.
• Build secure-by-default platform capabilities, including identity, access control, secrets management, encryption, audit logging, and software supply-chain protections.
• Develop testing frameworks for functional correctness, deployment compatibility, performance, reliability, and AI model behavior.
• Design APIs, configuration schemas, user workflows, and developer interfaces that make complex edge deployments simple and repeatable.
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