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? https://careers.fitch.group/go/Toronto-Innovation-Hub/9713801/

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 resources, compute power, and organizational support that enable you to focus on building breakthrough solutions

Toronto as Fitch's AI innovation hub

– Be part of our strategic investment in Toronto as a center of excellence for AI‑driven innovation; work in one of North America’s most vibrant tech ecosystems alongside talented full‑stack and ML engineers who will help you grow

Real impact and high visibility

– Build production applications that analysts and financial professionals use daily; see your code directly enable sophisticated AI capabilities; contribute to systems that change how global financial markets operate; gain visibility through meaningful contributions

Continuous learning and clear growth path

– Work with cutting‑edge technologies, attend conferences and training, learn AI integration patterns, and grow toward senior and lead engineer roles; mentorship from experienced engineers who are invested in your development; opportunity to establish yourself as an expert in AI‑powered applications

Innovation‑first culture

– Permission to experiment with emerging technologies and contribute ideas; work with talented engineers who celebrate curiosity, embrace experimentation, and value your perspective; environment where your contributions matter regardless of tenure

We'll Count on You To

Build and ship full‑stack features and applications

– Develop scalable application features using Java/Springboot, Python, and REACT; implement user interfaces, build backend services, create APIs, and contribute to infrastructure that makes AI capabilities accessible to end users

Integrate AI/ML capabilities into applications

– Work closely with ML engineers to integrate generative AI, LLMs, and intelligent automation into full‑stack applications; help build the connections between ML models and user experiences; contribute to how AI features are implemented

Write high‑quality, production‑ready code

– Follow engineering best practices, write maintainable code, implement automated tests, participate in code reviews, and contribute to CI/CD pipelines; solve technical challenges and build features that are both innovative and reliable

Collaborate effectively across teams

– Partner with ML engineers, senior engineers, product managers, and business stakeholders; communicate technical concepts clearly; contribute to team discussions; and help ensure alignment between AI innovation and application delivery

Learn continuously and contribute to team growth

– Stay curious about emerging technologies, actively seek feedback from senior engineers, share learnings with teammates, experiment with new approaches, and contribute to a culture of continuous learning and experimentation

Balance quality with velocity

– Contribute to features that move fast while maintaining engineering standards; participate in technical discussions; help identify and solve technical challenges; and support building applications that are both cutting‑edge and reliable

Support production applications

– Help maintain application reliability, contribute to troubleshooting issues, participate in on‑call rotations as needed, and support the operational excellence of systems you help build

What You Need to Have

Solid full‑stack engineering foundation

– 6+ years of hands‑on experience building web applications, with strong proficiency in Java, Springboot, Python, REACT, and modern web technologies; proven ability to deliver production‑quality full‑stack solutions

Polyglot programming experience

– Professional experience with both Java and Python; ability to work across different technology stacks and contribute effectively to diverse codebases

Understanding of software architecture

– Working knowledge of designing maintainable systems, understanding of design patterns, RESTful APIs, microservices, and ability to contribute to technical decisions

Bachelor's degree in Computer Science, Software Engineering, or related field

(or equivalent experience)

Modern development practices

– Strong understanding of software development fundamentals including automated testing, source version control (Git), CI/CD pipelines, and code quality practices

Collaboration and communication skills

– Ability to work effectively with cross‑functional teams, communicate technical concepts clearly, and genuine interest in partnering with ML engineers and stakeholders

Growth mindset and AI curiosity

– Genuine interest in how AI/ML and generative AI can transform workflows; eagerness to learn about emerging technologies; comfort with experimentation and learning from failures; excitement about contributing to AI‑powered applications

Problem‑solving abilities

– Strong analytical skills, comfort with ambiguity, ability to balance multiple tasks, and enthusiasm for tackling technical challenges at the intersection of full‑stack engineering and AI

What Would Make You Stand Out

Cloud‑native and DevOps experience

– Familiarity with Docker, Kubernetes/EKS, AWS/Azure, microservices architecture, CI/CD pipelines, and cloud‑native development patterns

AI integration or experimentation experience
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