Senior Software Engineer, AI

Fitch Group • Chicago, IL

8h • Hybrid

About The Position

Fitch Solutions is seeking a Senior Software Engineer, AI to join our Chicago office. As a leading provider of insights, data, and analytics, Fitch Solutions informs investment strategies, strengthens risk management, and identifies strategic opportunities. Our analysts, lawyers, journalists, and economists offer in-depth views on credit markets, ESG, global markets, and industry sectors. As part of Fitch Group, owned by Hearst, you will drive high-impact AI initiatives, identify cross-product synergies, and advance innovation by developing scalable, enterprise-grade solutions. You will work in a dynamic environment where innovation and collaboration are encouraged to meet the evolving needs of global markets. We offer the opportunity to advance your career while contributing to a company known for its expertise and commitment to excellence.

Requirements

• 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, state management, memory systems, and graph-based workflow orchestration.
• Strong technical expertise in embeddings, vector databases for AI integration, and LLM integration/fine-tuning across platforms such as OpenAI, LLaMA.
• Solid understanding of ML algorithms with production experience using frameworks and tools including FastAPI, PyTorch/TensorFlow, and MLflow.
• Extensive experience building and integrating generative AI solutions into production environments, including working with large language models, designing multi-agent systems, and embedding AI capabilities into existing product ecosystems.
• Strong foundation in MLOps practices, containerization technologies (Docker, Kubernetes/AWS EKS), cloud infrastructure (AWS/Azure), AI-specific services (AWS Bedrock, SageMaker, Azure AI Search), and orchestration tools.
• Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse stakeholders and work effectively across cross-functional teams.

Responsibilities

• Lead transformative GenAI system development, 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, experimenting with cutting-edge foundation models, designing and implementing GenAI/ML architectures, assessing emerging AI technologies, and developing rapid proofs-of-concept.
• Bridge the gap between research breakthroughs and production-ready capabilities that generate tangible business value.
• Build robust production infrastructure, including enterprise-scale APIs (FastAPI) for deployment and comprehensive cloud-based AI infrastructure on AWS/Azure, optimized for performance, reliability, and scalability.
• Demonstrate full-stack engineering excellence by applying 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 by participating in the full software development lifecycle for AI initiatives and contributing technical insights to design discussions.
• Apply engineering best practices.
• Collaborate and communicate effectively with cross-functional teams, including product managers, engineers, and business stakeholders, to translate complex technical concepts, gather requirements, and ensure AI solutions address user needs and strategic objectives.

Benefits

• Hybrid Work Environment: 2 days a week in office required based on your line of business and location.
• A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs.
• Investing in Your Future: Retirement planning and tuition reimbursement programs.
• Promoting Health & Wellbeing: Comprehensive healthcare offerings.
• Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan.
• Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups.
• Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed