Agentic AI Engineer (Fractional)

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

• Minimum 2 production-deployed agentic systems — not POCs, not demos, not coursework. Real systems, real users, real business impact. You must be able to speak to what broke, how you fixed it, and what it saved
• Proficiency in Python, LangChain/LangGraph or equivalent orchestration frameworks
• Experience with tool-calling, RAG pipelines, memory management, and multi-agent coordination
• Familiarity with MCP servers and API integrations
• Cost-aware engineering mindset