Overview
In this role as an Agentic AI Engineer, you will work on a significant AI program focused on developing and deploying Agentic AI systems and LLM solutions that deliver tangible business value. Collaborating with a team of experienced professionals, you will address complex workflows and automate processes, ensuring your contributions lead to measurable impact across enterprise initiatives. Your expertise will directly influence the successful integration and scaling of advanced AI technologies.
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.