A SaaS? platform for configuring, testing, and deploying AI agents directly into enterprise customer workflows.
Added Jun 5, 2026
Last signal 3d ago
Companies are hiring specialists to translate customer workflows, pain points, and requirements into production-grade AI agents. The work is repetitive but difficult: teams must gather customer context, configure prompts and workflows, tune behavior, integrate with existing systems, and prove measurable impact.
The product provides a guided workspace for mapping customer workflows, defining agent tasks, configuring prompts, testing behavior, and packaging agents for deployment into existing enterprise systems. It also captures deployment patterns and structured customer feedback so product and engineering teams can reuse successful agent configurations across accounts.
Multiple companies are staffing roles focused on building enterprise-quality AI agents inside customer workflows, suggesting demand has moved from experimentation to repeatable deployment. The rise of production AI agents creates a need for operational tooling beyond ad hoc consulting and custom engineering.
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You will define and sequence Augury’s emerging agent portfolio beyond the initial suite — including agents for maintenance planning, corporate intelligence, and cross-site analysis — and shape the longer-horizon vision for an Agent and Workflow Studio that enables customers to configure and deploy tailored industrial AI experiences across their operations. This means translating validated design-partner signals into prioritized expansion bets, developing the commercialization model for multi-agent offerings, and positioning Augury as the central platform for industrial data, intelligence, and action.
Build bespoke agents, background workflows, internal tools, and automations that solve real operational, clinical, and engineering problems Create reusable playbooks, prompt libraries, skill libraries, workflow templates, and reference architectures that teams can self-serve
As an Agent Platform Engineer, you’ll build the infrastructure, tooling, and development workflows that allow AI agents to operate safely, reliably, and at scale. Your work will support agents that generate customer interfaces, agents that contribute to Coframe’s own codebase, and automate workflows across engineering, go-to-market, and operations.
Partner with Deployment Strategists to turn customer goals into implementation plans that are aligned with the account strategy and grounded in technical reality Build and configure AI-powered workflows across IT, HR, finance, and operations, adapting Console to each customer’s environment
Build platform services: design backend services, APIs, and integrations that extend Serval's AI agent platform across customers, with a focus on reliability, security, and long-term maintainability. Turn workflows into product: work directly with customers to turn messy, high-stakes workflows into generalized, reusable product capabilities.
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