Fitch Solutions is currently seeking a Senior Software Engineer, AI based out of our Chicago office.
Fitch Solutions is a leading provider of insights, data and analytics. It informs investment strategies, strengthens risk management capabilities and helps identify strategic opportunities. Its analysts, lawyers, journalists and economists offer in-depth views on credit markets/risk and individual credits, ESG, developed and emerging markets, and industry sectors. Fitch Solutions is part of Fitch Group, a global leader in financial information services with operations in over 30 countries. Fitch Group is owned by Hearst.
By becoming a part of the Fitch Solutions team, you will join a group of colleagues driving high-impact AI initiatives and identifying cross-product synergies across our external product portfolio. We advance innovation by uncovering strategic opportunities and delivering scalable, enterprise-grade solutions. You'll work in a dynamic environment where innovation is encouraged, and collaboration is key to developing solutions that address the evolving needs of global markets. With a portfolio of best-in-class, we offer you the opportunity to advance your career while contributing to a company known for its expertise and commitment to excellence.
What We Offer:
- Create transformative AI systems with measurable impact – Design and deploy production-ready generative AI platforms, multi-agent systems, and intelligent automation; tackle frontier AI challenges witnessing your innovations reshape products in real-time.
- Leverage cutting-edge AI innovation – Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers for Fitch Solutions; stay at the bleeding edge of AI technology with access to the latest tools, frameworks, and platforms.
- Lead enterprise-wide AI standardization initiatives – Build GenAI solutions across multiple business units while creating unified patterns, reusable components, and standardization frameworks that enable AI at enterprise scale across Fitch Solutions.
- Address complex, cross-functional challenges – Work at the intersection of engineering and product development, building systems that leverage GenAI agentic workflows and production-scale deployment; tackle problems that will expand your expertise and push the boundaries of what's technically possible.
We’ll Count on You To:
- Lead transformative GenAI system development – Spearhead the creation of sophisticated generative AI solutions including enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, applied GenAI applications, and Model Context Protocol (MCP) implementations; deliver production-grade, scalable code that meets enterprise performance standards.
- Pioneer AI innovation through hands-on engineering – Experiment with cutting-edge foundation models, design and implement GenAI/ML architectures, assess emerging AI technologies, develop rapid proofs-of-concept, and bridge the gap between research breakthroughs and production-ready capabilities that generate tangible business value.
- Build robust production infrastructure – Develop enterprise-scale APIs (FastAPI) for deployment, architect and implement comprehensive cloud-based AI infrastructure on AWS/Azure, and ensure systems are optimized for performance, reliability, and scalability.
- Demonstrate full-stack engineering excellence – Apply proficiency across the entire technology stack to build enterprise-grade websites and applications, integrating AI capabilities seamlessly into user-facing products and backend systems.
- Build and deliver reliable AI solutions – Participate in the full software development lifecycle for AI initiatives, contribute technical insights to design discussions, apply engineering best practices.
- Collaborate and communicate effectively – Partner with cross-functional teams including product managers, engineers and business stakeholders to translate complex technical concepts, gather requirements, and ensure AI solutions directly address user needs and strategic objectives.
What You Need to Have:
- 7+ years of professional experience designing, developing, and deploying production-grade AI/ML systems, with a proven track record of delivering sophisticated generative AI and machine learning solutions at scale.
- 5+ years in full stack software engineering building and deploying real-world enterprise applications; advanced Python programming skills with strong backend development capabilities.
- Proven experience in developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration in real-time enterprise environments.
- Hands-on enterprise experience developing GenAI applications using LangChain and LangGraph frameworks with expertise in agent architecture design, st