Senior Software Engineer, GenAI

Fitch Group, Inc., Fitch Ratings, Inc., Fitch Solutions Group; Chicago (IL); On-site; USD 140,000 - 150,000; Full time

Benefits offered by this job

Health and wellness programs

Retirement planning

Tuition reimbursement

Paid volunteer days

Generous parental leave

Job summary

A leading financial insights company in Chicago is looking for a Senior Software Engineer specialized in AI to design and deploy generative AI platforms. Candidates should possess extensive experience in developing production-grade AI/ML solutions, strong full-stack software engineering skills, and expertise in deploying intelligent conversational systems. The company fosters a hybrid work model and offers comprehensive benefits including health and retirement programs.

Qualifications

• 7+ years of experience designing and deploying AI/ML systems.
• 5+ years in full stack engineering with advanced Python skills.
• Experience with RAG and conversational AI systems.
• Hands-on experience with LangChain frameworks.
• Expertise in embeddings and LLM integration.

Responsibilities

• Lead the development of generative AI solutions.
• Build enterprise-scale APIs for deployment.
• Participate in full software development lifecycle.
• Collaborate with cross-functional teams.

Skills

AI/ML systems

Full stack software engineering

Python programming

RAG architectures

Conversational AI systems

MLOps practices

Cloud infrastructure (AWS/Azure)

Collaboration and communication

Tools

FastAPI

PyTorch

TensorFlow

Docker

Kubernetes

Job description

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 that inform investment strategies, strengthen risk management capabilities and help identify strategic opportunities across the financial markets.

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, 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.

Why Fitch?

• 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.

Fitch Group is proud to be an Equal Opportunity and Affinitive Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

FOR CHICAGO ROLES ONLY: Expected base pay rates for the role will be between $140,000 and $150,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job‑related factors. Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long‑term incentives, and other benefits sponsored by Fitch.