Applied AI: Senior Software Engineer, AI Core Dev

Nasdaq • Toronto, ON

32d • $86,000 - $118,000 • Hybrid

About The Position

As a Senior Software Engineer in Applied AI reporting to Sr. Director, AI Engineering, you'll play a critical role in building and scaling AI platforms and agent-based solutions that power products and internal tools across Nasdaq's global business. You'll build AI products and internal tools used across Nasdaq, including Market Platforms, Capital Access Platforms, and Anti-Financial Crime. You'll focus on developing AI agents that improve product development and customer experience, while also working on low-latency model execution frameworks, large-scale data platforms, and advanced monitoring services. This role is perfect for product-minded, technically curious, and collaborative professionals with a passion for applying cutting-edge AI technologies to real-world, high-impact problems in a fast-paced environment. About the Team The AI Engineering team builds AI capabilities across Nasdaq's products and internal platforms. We develop and deploy AI-powered solutions—including LLM-based chat, document processing, report generation, and code generation—that support both our clients and employees while accelerating research and innovation.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience
• 5+ years of professional software engineering experience in complex, production environments
• Strong programming skills in Python and Java; experience with TypeScript is a plus
• Proven ability to design, develop, test, and operate scalable, distributed systems
• Clear communicator with experience working in collaborative, cross-functional teams

Nice To Haves

• Experience with cloud-native architectures and infrastructure (AWS and/or Azure)
• Familiarity with low-latency or memory-intensive applications
• Experience using Terraform or other infrastructure-as-code tools

Responsibilities

• Design, build, and operate AI agents that perform real production work, with a strong focus on quality, observability, and reliability
• Develop and maintain large-scale model execution frameworks supporting batch, API, and real-time use cases
• Partner closely with data scientists to codify reusable data operations that accelerate research and development productivity
• Build cloud-native systems for continuous model training and deployment across AWS and Azure environments
• Communicate technical progress and outcomes clearly to cross-functional collaborators across the business

Benefits

• We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.
• In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth.
• Our hybrid work model, NasdaqBlend, gives you flexibility to do your best work—whether that’s from home, in the office, or a mix of both.
• We support your success through You&Q, our total rewards program that covers every dimension of life—from building wealth and growing your career to prioritizing well-being and family care.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees