Ai Engineer

AI Engineer Overview

• The AI Engineer will design, develop, and deploy AI-powered solutions to enhance business operations and decision-making processes.
• Collaborate with investment, operations, and technology teams to implement Generative AI technologies for workflow automation and productivity enhancement.
• Utilize cutting-edge tools such as Microsoft Copilot, AWS Bedrock, and Large Language Models (LLMs) to build impactful AI applications.
• Contribute to the development of AI-driven tools for research, reporting, knowledge management, and process optimization.
• Work in a hybrid environment, combining onsite collaboration and remote flexibility to maximize productivity.
• Join a dynamic team in the investment management industry, focusing on innovative AI applications.
• Gain exposure to financial services and investment-related environments, enhancing your expertise in AI solutions.
• Contribute to a forward-thinking organization committed to leveraging AI for business transformation.

AI Engineer Key Responsibilities & Duties

• Develop and deploy AI applications using Microsoft Copilot, AWS Bedrock, and Large Language Models (LLMs).
• Design and optimize prompt engineering frameworks and Retrieval-Augmented Generation (RAG) solutions.
• Integrate AI solutions with internal systems, databases, and cloud infrastructure.
• Collaborate with business stakeholders to identify and implement high-impact AI use cases.
• Monitor AI model performance, ensuring adherence to security and governance standards.
• Develop AI-driven tools for research, reporting, knowledge management, and process automation.
• Provide technical expertise in Python programming and AWS cloud services.
• Collaborate with cross-functional teams to enhance AI applications within the investment management industry.

AI Engineer Job Requirements

• Bachelor of Science (BS) degree in a relevant field is required.
• 1-3 years of experience in AI/ML, software engineering, or cloud-based application development.
• Proficiency in Python programming and experience with AWS cloud services.
• Hands-on experience with Microsoft Copilot, AWS Bedrock, and LLM-based applications.
• Strong understanding of prompt engineering, API integrations, and AI application development.
• Excellent communication skills and ability to work in hybrid environments.
• Preferred experience in building chatbots, copilots, or agent-based AI solutions.
• Exposure to financial services, hedge funds, asset management, or investment-related environments is advantageous.