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.

• Develop novel AI strategies to drive complex healthcare solutions by building machine learning, deep learning, and Generative AI models using cutting-edge methods
• Research, design and implement scalable innovative machine learning models to support production processes, which includes processing and transforming source data to be used in machine learning pipelines, leveraging cloud computing
• Collaborate with cross-functional teams to determine applicability of AI to business problems
• Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions
• Invent, develop, and implement novel document parsing models using Gen AI and python packages
• Develop new models and publications and patents in scientific journals and conferences
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so