Principal Engineer & Architect - AI Agent Plaform

DevSavant builds and operates managed AI agents / AI coworkers that run real business workflows in production for SaaS companies. We are turning that service into a scalable product: connecting client systems, normalizing their data, and running agent-driven workflows with human approval, dashboards, and full auditability.

You will be the senior-most engineer on the platform and its technical architect. You will design the integrations, data layers, APIs, infrastructure, security model, and the AI agents themselves. You present those designs to the Director of Engineering for sign-off, and then own building and shipping them alongside a distributed team of senior engineers.

How authority works here: you architect and propose, the Director of Engineering signs off on the direction, and you own execution, technical standards, and team direction from there. This is a hands-on architectural and technical leadership role. You will be writing code on the hard parts of the system, not managing HR functions or line-by-line supervision.

You will start by owning the architecture for the core platform (Managed AI Agents). As we expand into new business modules (Company Brain), you will take ownership of their technical architecture too, stepping in across projects to guide distributed engineering teams based on business priorities.

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• Official AWS or GCP Cloud Architect certifications.

• Experience with agent frameworks beyond single-vendor stacks (such as OpenClaw, MCP, or A2A).

• Experience with Infrastructure as Code and observability tools like Prometheus or Grafana.

• Background in graph databases and knowledge graphs.

• Early-stage startup experience building new product lines from 0→1.