Overview
The Agentic AI Engineer will engage in the development and deployment of intelligent AI systems focused on delivering business solutions through advanced machine learning techniques. This role is pivotal within a major AI program, working collaboratively on projects that utilize large language models (LLMs) to create efficient automated processes and generate significant business impact. Ideal candidates will have direct, hands-on experience in building scalable Agentic AI solutions.
Responsibilities
- Design and deploy AI agents and agentic workflows powered by LLMs.
- Build systems using RAG, reasoning, planning, memory, and tool orchestration.
- Develop multi-step AI solutions capable of autonomous decision-making and tool usage.
- Work with MCP-style architectures and modern orchestration frameworks.
- Deliver recommendation, classification, forecasting, and automation solutions using large-scale datasets.
- Deploy scalable AI systems across cloud environments, including AWS, Azure, and GCP.
Requirements
- Strong Python engineering skills with experience in writing production-grade code.
- Proven experience deploying LLM-powered applications into production.
- Hands-on expertise with LangChain, LangGraph, or similar frameworks.
- Demonstrable experience building Agentic AI systems and AI agents.
- Strong understanding of RAG architectures and LLM optimization.
- Experience with FastAPI, MCP/FastMCP, or similar technologies.
- Familiarity with cloud-native AI deployments and data-driven applications.