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Software Engineer, Full-Stack - AI Innovation Teams

Job in Toronto, Ontario, M5A, Canada
Listing for: Fitch Solutions
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    AI Engineer, Full Stack Developer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
Position: Software Engineer, Full-Stack Applications - AI Innovation Teams

Software Engineer, Full-Stack Applications – AI Innovation Teams

As one of the world’s top three credit ratings agencies, Fitch Ratings plays a critical role in global capital markets by providing credit analysis, ratings, research, and commentary to financial market participants. For over 100 years, Fitch Ratings has been creating value for global markets through its rigorous analysis and deep expertise, which have resulted in a variety of market leading tools, methodologies, indices, research, and analytical products.

Fitch Ratings is part of Fitch Group, a global leader in financial information services with operations in more than 30 countries, which also includes Fitch Solutions. With dual headquarters in London and New York, Fitch Group is owned by Hearst.

Join our fast‑growing Toronto innovation hub, where we’re building production‑grade AI to reshape global credit decisions. Here, you won’t just ship features—you’ll help reinvent an industry using decades‑deep proprietary data and a modern tech stack, free from heavy legacy. Backed by full enterprise support, you’ll build reliable, explainable intelligence at real scale within a collaborative, outcome‑driven community. If you’re looking for purposeful work, constant learning, and a place where your impact and growth accelerate—this is where you’ll thrive.

Want to learn more about our Toronto Innovation Hub? Visit:

Fitch Ratings is seeking a Software Engineer to join our new AI Innovation teams in Toronto—where we're building the AI-powered platforms and applications that will transform financial analysis. This isn't about maintaining legacy systems or making incremental improvements. This is about being part of building what comes next: intelligent applications, full-stack platforms that seamlessly integrate cutting-edge AI capabilities, and user experiences that will fundamentally change how Ratings analysts work and how Fitch delivers insights to global financial markets.

We're at a defining moment. Fitch is making a major strategic bet on AI, investing heavily in Toronto as our innovation center, and we're building teams that combine exceptional full-stack engineers with world-class ML engineers. As a Software Engineer, you'll be hands-on building the applications and infrastructure that bring breakthrough AI to life—developing user interfaces, implementing backend services, and creating the integrations that make sophisticated ML models accessible and useful.

You're joining at the perfect time to make significant contributions while accelerating your career alongside talented engineers building something truly transformative.

We need full-stack engineers who are excited about AI's potential and eager to grow—not AI specialists, but strong technologists who are curious about how generative AI, intelligent automation, and ML can transform workflows. If you're energized by "let's build this together and learn what's possible" rather than "this is how we've always done it," this is a high-growth role where you'll work alongside talented ML engineers and senior full-stack engineers, contributing to real systems with real impact while rapidly developing your skills in one of the most exciting areas of technology today.

What We Offer:

  • Build transformative full-stack applications with AI at the core – Develop net-new applications using Java/Springboot, Python, and REACT that integrate cutting-edge generative AI and ML capabilities; contribute to elegant user experiences that make sophisticated AI accessible to analysts and bring intelligent automation to life
  • Accelerate your career at the intersection of full-stack engineering and AI – Work directly with ML engineers building breakthrough AI systems and learn from experienced senior engineers; gain hands-on experience with LLMs, agentic workflows, and generative AI while deepening your full-stack expertise; grow your skills in AI-powered applications that will define your career trajectory
  • Greenfield innovation with enterprise backing – Contribute to building net-new platforms from scratch with exposure to architectural decisions, modern frameworks, and cutting-edge technologies—backed by the…
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