Senior Software Engineer, GenAI

Fitch Group•Chicago, IL

3d•$140,000 - $150,000•Hybrid

About The Position

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.

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 agentic 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 – 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.

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 designed to ensure that your time at Fitch will be a continuous learning opportunity
Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community

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