AI Engineer

About the company:

Our client is a leading global financial services organization with a strong international presence, leveraging technology, data, and Artificial Intelligence to drive innovation and deliver impactful solutions across its business. As part of its continued investment in AI, the firm is expanding its engineering team to develop next-generation intelligent applications and enterprise AI platforms.

Overview

We are looking for an AI Engineer to design, develop, and deploy enterprise-scale AI solutions powered by Large Language Models (LLMs) and modern AI technologies. This is a hands-on engineering role that combines Generative AI, cloud-native development, and software engineering, offering the opportunity to work on cutting-edge AI initiatives within a collaborative global environment.

Responsibilities

• Design, develop, and deploy AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks
• Build intelligent AI agents and conversational systems with context-aware, multi-turn dialogue capabilities
• Develop and maintain APIs and backend services to integrate Generative AI capabilities into enterprise applications
• Design and implement scalable, secure, and fault-tolerant microservices using modern software engineering practices
• Develop AI and data processing workflows using Python, SQL, and scripting languages
• Build and deploy cloud-native AI solutions leveraging AWS and related cloud technologies
• Implement CI/CD pipelines and deployment automation following DevOps best practices
• Collaborate with engineering, product, and business stakeholders to deliver high-quality AI solutions
• Analyse technical requirements, identify opportunities for optimisation, and recommend scalable solutions
• Produce technical documentation and contribute to engineering best practices and continuous improvement initiatives

Requirements

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Statistics, or a related quantitative discipline
• Proven experience in AI/ML engineering, software engineering, or full-stack development
• Hands-on experience developing AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks
• Experience building AI agents, chatbots, or conversational AI solutions
• Strong programming skills in Python, SQL, and scripting languages
• Experience developing APIs, backend services, and microservices
• Experience working with AWS or other cloud platforms
• Knowledge of CI/CD pipelines, DevOps practices, and modern software development methodologies
• Experience with React or other modern frontend frameworks is an advantage
• Strong analytical, problem-solving, and communication skills
• Experience collaborating with cross-functional and global teams in an Agile environment

Please contact Ella Godinez at [email protected] for a confidential discussion.