Software Engineering, Full Stack

Software Engineering, Full Stack
- AI Fitch Group is currently seeking a Full Stack-AI Engineer based out of our office in Chicago. As an Associate Director on our External Application Development Chapter, you will have the opportunity to be a part of an exceptionally talented, agile team dedicated to delivering world-class solutions to Fitch customers. Our team focuses on building cutting-edge, cloud-native applications, comprising of data ingestion pipelines, microservices, data visualizations and customer-facing web products using modern front-end technologies.

What We Offer
Innovative Technological Environment: Fitch Group offers a modern technology stack that is cloud-based, containerized, serverless, and microservices-oriented, providing a cutting-edge environment to work in. This is a great opportunity to work with the latest technologies and frameworks, driving innovation and modernization. High Impact and Visibility: This role provides the chance to lead and shape data engineering and API initiatives that directly impact Fitch's customer-facing products and associated backend systems. You will have high visibility within the organization, collaborating with product owners and stakeholders to drive strategic initiatives. Professional Growth and Development: Fitch Group emphasizes continuous learning and professional development. As the Director of Software Engineering, you will have the opportunity to mentor and grow a high-performance team while also expanding your own skills and expertise in emerging technologies. Supportive and Collaborative Culture: Fitch Group fosters a collaborative and agile work environment where team members are encouraged to share ideas and work together to overcome challenges. You will be part of a talented, bright, and driven team, making the work both rewarding and enjoyable. We'll Count on You To: Demonstrate technical expertise in full-stack technologies, AI-enabled solutions for enterprise-scale applications and applications. Demonstrate technical experience in design best practices, build modern AI/ML solutions, including generative AI/LLM-based applications aligned to business and product outcomes, providing effective translation to code artifacts, and implementing an appropriate integration approach for API/data layer. Contribute to and guide the development of GenAI applications using frameworks such as LangChain and LangGraph, including agent workflows, memory/state handling, and graph-based orchestration. Work as part of an agile team in design, development, debugging, and deployment efforts while addressing security, cross-browser, and cross-platform expectations and concerns. Collaborate with Product Owners and stakeholders to understand business needs, define and develop applications/architecture, design, review, implement, and optimize Engineering processes. Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownership. Maintain and enhance microservices-based components for the application suite. Recommend, create, and maintain development best practices and guidelines to be used across various applications. Write automated unit, integration, performance, and visual regression test cases. Integrate test case execution with the CI/CD pipeline to better align with the DevSecOps strategy. Promote, implement, and evolve development best practices, especially on commits, versioning, and dependency management. What You Need to Have: 7+ years of experience designing and developing distributed application architecture of moderate-to-high complexity. 7+ years of software engineering experience, with strong backend development expertise in Java and Python. Strong hands-on experience building scalable backend services using technologies such as Spring Boot, Fast API, or similar frameworks. 5+ years of experience designing and developing scalable web applications using modern front-end frameworks such as React, TypeScript. Proven experience building and supporting microservices-based architectures in cloud-native environments. Hands-on experience designing and deploying AI/ML solutions in production. Strong knowledge of generative AI concepts, including experience with embeddings, vector stores, RAG, and LLM integration. Experience building GenAI applications using tools and frameworks such as LangChain, LangGraph, and leading LLM providers or open-source models. Experience with relational databases such as Oracle or PostgreSQL, and familiarity with NoSQL and search technologies such as MongoDB, DynamoDB, Elasticsearch, or Solr. Expertise in modern package management, test frameworks (e.g., NPM, Yarn, Webpack, Jest, Enzyme, Karma, Jasmine, Mocha, Wraith), CI/CD pipelines using GIT and modern DevSecOps practices, including automation, testing, and secure software delivery. Experience working in high-performance teams using Agile methodol