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Senior 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: https://careers.fitch.group/go/Toronto-Innovation-Hub/9713801/ Fitch Ratings is seeking a Senior 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 leading the development of 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 Senior Software Engineer , you'll own critical components of the applications and infrastructure that bring breakthrough AI to life— driving technical decisions , architecting scalable solutions, 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 technical impact while shaping the direction of transformative AI-powered platforms. We need experienced full-stack engineers who understand AI's potential and can lead technical initiatives —not AI specialists, but seasoned technologists who can architect solutions that leverage generative AI, intelligent automation, and ML to transform workflows. If you're energized by "let's architect this the right way and push what's possible" rather than "this is how we've always done it," this is a high-impact role where you'll work alongside talented ML engineers, mentor engineers , and drive technical excellence in one of the most exciting areas of technology today. What We Offer: Lead transformative full-stack applications with AI at the core – Drive architecture and implementation of net-new applications using Java/Springboot, Python, and REACT that integrate cutting-edge generative AI and ML capabilities; own technical decisions that enable elegant user experiences and bring intelligent automation to life Shape technical direction at the intersection of full-stack engineering and AI – Partner directly with ML engineers building breakthrough AI systems; influence architectural decisions; establish patterns for AI integration; mentor engineers while deepening your expertise in AI-powered applications that will define the next generation of financial technology Greenfield innovation with enterprise backing and ownership – Lead technical initiatives building net-new platforms from scratch with ownership of 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; establish yourself as a technical leader in this growing innovation center Strategic impact and high visibility – Own production applications that analysts and financial professionals use daily; see your architectural decisions directly enable sophisticated AI capabilities; drive systems that change how global financial markets operate; gain visibility through technical leadership and meaningful contributions Technical leadership and influence – Drive engineering best practices , mentor team members , participate in architectural reviews, and grow toward principal/architect/leadership tracks; opportunity to establish yourself as a thought leader in AI-powered applications with influence across teams Innovation-first culture with technical ownership – Drive experimentation with emerging technologies and shape technical direction ; work with talented engineers who celebrate curiosity, embrace experimentation, and value your technical perspective and experience ; environment where your leadership matters. We'll Count on You To: Architect and lead full-stack applications – Design and drive implementation of scalable application features using Java/Springboot, Python, and REACT; own architectural decisions for user interfaces, backend services, APIs, and infrastructure; establish technical patterns that make AI capabilities accessible and maintainable Lead AI/ML integration architecture – Drive the technical approach for integrating generative AI, LLMs, and intelligent automation into full-stack applications; establish patterns for connecting ML models with user experiences; own technical decisions on how AI features are architected and implemented Champion engineering excellence – Establish and enforce engineering best practices, conduct code reviews, mentor engineers on code quality, drive CI/CD pipeline improvements, and lead technical discussions that balance innovation with reliability; own technical debt management and architectural improvements Drive technical decisions across teams – Lead collaboration with ML engineers, product managers, and business stakeholders; influence technical strategy ; facilitate architectural discussions ; and ensure alignment between AI innovation and application delivery through technical leadership Mentor and elevate team capabilities – Provide technical mentorship to engineers, lead knowledge-sharing initiatives , conduct design reviews , drive technical growth through thoughtful feedback, and contribute to building a culture of engineering excellence and continuous learning Balance innovation with pragmatic delivery – Drive features that move fast while establishing engineering standards ; lead technical discussions on trade-offs; proactively identify and solve complex technical challenges ; and own building applications that are both cutting-edge and production-ready Own production reliability and technical excellence – Lead troubleshooting of complex issues, drive system performance and scalability improvements, establish monitoring and observability practices , and own operational excellence of systems you architect What You Need to Have:
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.