About the role

You’ll join VaultSpeed’s small Agentic team as a hands-on senior engineer, building AI agents that customers rely on in production. The platform runs on Omnigent, an open-source agent platform that VaultSpeed extends for enterprise use, with a graph-based context store and Data Vault expertise packaged into the agents as skills.

The work spans the whole stack: the agents and their skills, the platform services they run on, the Kubernetes infrastructure behind them and the interface people use. You’ll own areas of the system from technical design to release, and your decisions will shape how a new product grows.

What you’ll do

• Build and improve the agents that ingest sources and generate data models and code, and the skills that carry data modelling knowledge, deciding what belongs in a prompt, a skill, a tool or plain deterministic code
• Build evaluations and regression suites, so changes to prompts, models and tools are judged on evidence
• Extend the platform layer on top of Omnigent: multi-tenancy and tenant isolation, authentication, the MCP tool suite, the context store, the agent marketplace and the LLM gateway
• Keep the Omnigent fork in sync with upstream, resolve conflicts with customisations and contribute fixes back to the open-source project
• Work on the Kubernetes sandbox infrastructure where agents run (templates, warm pools, persistence, suspend and resume, observability, cost) and ship changes through GitOps with Argo CD
• Investigate agent failures through logs and model traces, and fix root causes rather than symptoms
• Write technical proposals, review designs and pull requests, and support releases