A SaaS? platform for designing, deploying, monitoring, and governing AI agents across enterprise workflows.
Added Jun 11, 2026
Last signal 4d ago
Companies are hiring for people who can build AI agents, agentic workflows, and intelligent automations that reduce manual work, but production deployment remains complex. Teams need to connect agents to enterprise systems, manage orchestration, memory, tool use, human review, and reliability without rebuilding the same infrastructure for every workflow.
The product provides a control plane where business systems, GTM?, data, and engineering teams can create agentic workflows with reusable connectors, tool-calling patterns, state management, and approval steps. It includes deployment, monitoring, audit logs, failure handling, and human-in-the-loop controls so AI automations can run safely in production enterprise environments.
Multiple companies are explicitly hiring for hands-on AI agent and enterprise workflow automation experience, showing that agentic AI has moved from experimentation into operational implementation. The need is urgent because teams are trying to convert LLM? prototypes into reliable business process automation.
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Architecture & Delivery: Drive the end-to-end design, construction, and deployment of enterprise-scale LLM applications and Generative AI systems. Agentic Workflows: Lead the creation of advanced multi-agent systems, covering orchestration, tool integrations, memory, and continuous execution.
About the role: You'll join the team that builds and enables agentic workflows across Brain Co. For every engineer, operator, and business team internally, and for the production AI systems we deploy to governments, healthcare systems, and critical industries. This is a platform role at the center of the company's agent-first strategy: you'll build foundational systems used by every engineering team, and the bar is product-grade because the entire company depends on them.
At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don’t just respond to requests — they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering.
We are building an AI Agent platform that enables product teams to build, operate, and scale AI-powered agents across our ERP ecosystem. Our team focuses on building the platform infrastructure — frameworks, SDKs, runtime systems, and tooling — that allow multiple teams to safely develop and deploy AI agents in production.
Curate and Tune AI Agents: Manage the enterprise deal approval ecosystem by tuning automated agents and models to ensure compliance and accuracy at scale. Drive Process Iteration: Partner with cross-functional teams (Legal, Finance, Product) to build, streamline, and automate deal desk processes, architecting autonomous approval workflows and focusing on reducing field friction through relentless automation.
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