Software Engineer

About the job

We're seeking an exceptional Software Engineers to drive the development of cutting-edge artificial intelligence enabled solutions. As a key member of our Asset Management Engineering team, you'll shape the future of investment management by developing and deploying innovative AI applications. In this role you will be instrumental in: • Engineering a technology stack to revolutionize insight generation through AI-powered analytics. • Building scalable solutions to enhance investment management workflows, elevating the investment process and creating efficiencies. • Integrating a technology stack with LLMs to support a range of uses, from insight generation to workflow automation. • Accelerating the adoption of generative AI across the asset management value chain-distribution, investments and investment operations. The ideal candidate for this job should have: • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred. • Strong software engineering fundamentals with hands-on development experience. • Proven ability to translate complex business requirements into technical solutions. • Natural curiosity and passion for emerging technologies. • Excellence in cross-functional collaboration and communication. Responsibilities in this job include (but are not limited to): • Design, develop, and deploy technology solutions integrated with LLMs for distribution, investments and investment operations. • Evaluate and implement state-of-the-art generative AI models and frameworks and build proof-of-concept solutions. • Partner with stakeholders to translate business requirements into technical solutions and communicate complex AI concepts to non-technical stakeholders. • Work cross-functionally with data engineers, technologists and product owners to architect scalable, production-grade AI systems. • Optimize existing workflows and tools through AI automation while ensuring solutions meet performance, security, and compliance standards. • Perform code reviews, and contribute to technical architecture and documentation. Required Technical Skills: • Advanced Python programming and experience with generative AI models with knowledge of prompt engineering, fine tuning and RAG implementation. • Strong foundation in cloud computing, containerization, and proficiency with version control systems (Git) and CI/CD pipelines. • Deep understanding of LLM capabilities, responsible AI practices, and experience with RAG architectures and vector databases. • Full-stack development skills, including frontend development with React/JavaScript, building and maintaining RESTful APIs, and understanding web architecture and microservices. • Experience with AWS services, cloud-native architectures, scalable and secure deployment patterns, and familiarity with monitoring and observability tools. • Ability to handle large-scale datasets, data engineering principles, and knowledge of automated workflow design and implementation.