Design, develop, and optimise advanced AI agent systems that power real-world business applications. You will work with modern LLM technologies, agent frameworks, and tool integrations to create scalable solutions.

Client Details

A forward-thinking financial services organisation at the forefront of leveraging AI and emerging technologies to solve complex business challenges.

Description

Design and implement AI agent and multi-agent systems for complex business use cases.Build LLM-powered applications with advanced reasoning, planning, memory, and execution capabilities.Develop tool-integrated solutions that connect agents with APIs, databases, search platforms, and external services.Architect robust context management and workflow orchestration capabilities using modern agent frameworks.Research and evaluate emerging AI, LLM, and agent technologies to enhance existing products and platforms.

Profile

Master's or PhD in Computer Science, Data Science, Statistics, or a related discipline.Proven experience building AI agent systems and LLM-based applications beyond traditional chatbot solutions.Strong understanding of agent architectures, tool calling, function calling, memory management, and workflow orchestration.Hands-on experience with frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, or similar agent ecosystems.Expertise in LLM concepts including RAG, agentic reasoning, NLP, model behaviour, and system integration patterns.