Description
The Agentic Systems Engineer will design, build, and productionize AI-powered applications, RAG pipelines, and tool integrations within an established platform architecture. The role involves developing multi-step, tool-using agents; integrating enterprise systems through REST APIs, connectors, or MCP-style registries; evaluating and observing agent behavior; applying guardrails and access controls; and working with SQL and NoSQL data pipelines. The position requires at least six years of professional software engineering experience, including one to two years of hands-on experience with LLMs or agentic frameworks, along with strong Python or Node.js, LLM orchestration, RAG, and agent-evaluation expertise.
