About the Role Join a pioneering team that’s redefining how AI and cloud-native platforms power front-office trading. We’re hiring a hands-on AI Engineer (AVP level) to help shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building something unique, ahead of the curve, and never done before, this is your chance to make it happen. What You’ll Do You’ll design, build, and innovate across both cloud and on-prem environments, scaling platform capabilities and driving AI adoption: Architect and develop cutting-edge platform services for AI-driven trading. Collaborate with internal infra/platform teams to align capabilities and avoid duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Dfferent Direct Impact: Build AI tools that traders and quants use daily to optimize strategies. Creative Freedom: Open collaboration and the chance to bring your ideas to life. Visibility: Be a big player in a small, high-impact team with exposure across the organization. What We’re Looking For 5 – 10 years of experience in software/data engineering, ideally in platform or infra roles. Strong programming skills in Python; passion for code quality and testing. Demonstrable experience applying Generative AI concepts (ideally in a front-office/capital market environment) Experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation). Experience working in a fast-paced front-office environment in either engineering or analytical roles. Passion for being hands-on and contributing to a collaborative engineering culture. Nice to Have Experience with on-prem Hadoop and Kubernetes. Familiarity with AWS cost management and optimization tools. Knowledge of front-office developer workflows in financial services.