Our client is looking for Agentic AI Engineer to build and deploy AI agents that automate real business workflows — reducing operational cost, headcount dependency, and turnaround time. This is a hands-on implementation role, not R&D. If your experience lives in notebooks, courses, and demos, this role is not for you.
What You'll Own
- Design and build multi-agent systems that replace or augment manual business processes
- Integrate agents with internal tools (CRM, ERP, databases, APIs, communication platforms)
- Optimize agent performance for cost per task — token efficiency, latency, and accuracy
- Set up observability and monitoring so agents don't fail silently in production
- Work directly with business stakeholders to translate process pain points into agent workflows
- Maintain and iterate on deployed agents — not a build-and-forget role
Requirements