Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Software Engineeer, AI role.
Rezi rewrites your resume against Fitch Group's job description. Free.

Tailor your resume to this Software Engineeer, AI role.
Rezi rewrites your resume against Fitch Group's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Software Engineeer, AI posting at Fitch Group — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Software Engineeer, AI posting at Fitch Group — free, in seconds.
About the Role
Fitch Solutions is seeking a Software Engineer, AI to drive high-impact AI initiatives and identify cross-product synergies. The role involves advancing innovation by uncovering strategic opportunities and delivering scalable, enterprise-grade solutions in a dynamic environment where innovation and collaboration are encouraged.
Responsibilities
- Design and deploy production-ready generative AI platforms, multi-agent systems, and intelligent automation.
- Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers.
- Build GenAI solutions across multiple business units while creating unified patterns, reusable components, and standardization frameworks.
- Work at the intersection of engineering and product development, building systems that leverage GenAI agentic workflows and production-scale deployment.
- 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.
- Experiment with cutting-edge foundation models, design and implement GenAI/ML architectures, assess emerging AI technologies, and develop rapid proofs-of-concept.
- Bridge the gap between research breakthroughs and production-ready capabilities that generate tangible business value.
- Develop enterprise-scale APIs (FastAPI) for deployment.
- Architect and implement comprehensive cloud-based AI infrastructure on AWS/Azure.
- Ensure systems are optimized for performance, reliability, and scalability.
- Apply proficiency across the entire technology stack to build enterprise-grade websites and applications.
- Integrate AI capabilities seamlessly into user-facing products and backend systems.
- Participate in the full software development lifecycle for AI initiatives.
- Contribute technical insights to design discussions.
- Apply engineering best practices.
- 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.
Requirements
- 7+ years of professional experience designing, developing, and deploying production-grade AI/ML systems.
- 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.
Skills
- Generative AI
- Multi-agent systems
- Intelligent automation
- LLMs
- Foundation models
- RAG implementations
- Agentic systems
- Model Context Protocol (MCP)
- GenAI
- ML architectures
- FastAPI
- AWS
- Azure
- Docker
- Kubernetes
- AWS EKS
- AWS Bedrock
- SageMaker
- Azure AI Search
- LangChain
- LangGraph
- Embeddings
- Vector databases
- OpenAI
- LLaMA
- PyTorch
- TensorFlow
- MLflow
- MLOps
Location
- Chicago
Work Type
- Hybrid
Experience Level
- 7+ years of professional experience
- 5+ years in full stack software engineering
Salary/Compensations
- $88,000 - $120,000 per year
Benefits
- Hybrid Work Environment: 2 days a week in office required
- 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
About the Company
- Fitch Solutions is a leading provider of insights, data and analytics that 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.
- Fitch Group is a global leader in financial information services with operations in more than 30 countries.
- Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning.
- Fitch Ratings is a leading provider of credit ratings, commentary and research.
- Fitch Solutions provides data, research and analytics to support informed decisions.
- Fitch Learning is a leader in financial services training.
- CreditSights was founded over 20 years ago with the goal of producing insightful, impartial research that would allow our clients to make prudent, profitable investment decisions in the global credit markets.
- CreditSights is a Fitch Solutions Company.
- BMI's systematic, independent and data-driven market insights, analysis and forecasts enable customers to recognize and assess risks and opportunities across markets and industries.
- GeoQuant uses advances in political and computer science to create high-frequency, systematic country risk data and analytics that are transparent and can be validated.
- Fitch (China) Bohua Credit Ratings Ltd. Is licensed by the People’s Bank of China (PBOC) and the National Association of Financial Market Institutional Investors (NAFMII) to provide ratings services for China’s onshore bond market.
- Sustainable Fitch combines experience and heritage with the best ESG information available in the market today.
Equal Opportunity
- Fitch Group is proud to be an Equal Opportunity and Affirmative 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.