Overview
In this role as an Agentic AI Engineer, the contractor will focus on creating and deploying intelligent systems that utilize large language models (LLMs) to address complex business challenges. The position involves collaboration within a major AI program, aimed at delivering scalable Agentic AI solutions that enhance enterprise operations. The ideal candidate will work closely with modern orchestration frameworks to automate workflows and contribute to product transformation efforts.
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 and experience 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 optimisation.
- Experience with FastAPI, MCP/FastMCP, or similar technologies.
- Familiarity with cloud-native AI deployments and data-driven applications.