Software Engineering, Full Stack - AI
Role details
Job location
Tech stack
Job description
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:
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Demonstrate technical expertise in full-stack technologies, AI-enabled solutions for enterprise-scale applications and applications.
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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.
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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.
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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.
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Collaborate with Product Owners and stakeholders to understand business needs, define and develop applications/architecture, design, review, implement, and optimize Engineering processes.
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Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownership.
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Maintain and enhance microservices-based components for the application suite.
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Recommend, create, and maintain development best practices and guidelines to be used across various applications.
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Write automated unit, integration, performance, and visual regression test cases.
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Integrate test case execution with the CI/CD pipeline to better align with the DevSecOps strategy.
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Promote, implement, and evolve development best practices, especially on commits, versioning, and dependency management.
Requirements
Do you have experience in Web applications?, * 7+ years of experience designing and developing distributed application architecture of moderate-to-high complexity.
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7+ years of experience designing and developing distributed application architectures of moderate-to-high complexity.
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7+ years of software engineering experience, with strong backend development expertise in Java and Python.
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Strong hands-on experience building scalable backend services using technologies such as Spring Boot, Fast API, or similar frameworks.
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5+ years of experience designing and developing scalable web applications using modern front-end frameworks such as React, TypeScript.
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Proven experience building and supporting microservices-based architectures in cloud-native environments.
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Hands-on experience designing and deploying AI/ML solutions in production.
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Strong knowledge of generative AI concepts, including experience with embeddings, vector stores, RAG, and LLM integration.
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Experience building GenAI applications using tools and frameworks such as LangChain, LangGraph, and leading LLM providers or open-source models.
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Experience with relational databases such as Oracle or PostgreSQL, and familiarity with NoSQL and search technologies such as MongoDB, DynamoDB, Elasticsearch, or Solr.
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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.
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Experience working in high-performance teams using Agile methodologies.
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Strong communication and collaboration skills, with the ability to clearly articulate technical concepts to both technical and non-technical stakeholders.
What Would Make You Stand Out:
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Experience building AI-enabled features for customer-facing enterprise applications.
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Exposure to AWS services such as EC2, S3, Route 53, CloudFront, CloudFormation, and networking concepts such as VPCs, subnets, and security groups.
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Experience with containerization and container orchestration technologies.
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Familiarity with data engineering and modern data architecture patterns.
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Experience with observability, monitoring, and production support for distributed systems.
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Familiarity with Atlassian tools such as JIRA, Confluence, Bitbucket, and Bamboo.
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Experience mentoring engineers and influencing technical standards across teams.
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Exposure to business intelligence or data visualization tools.
Benefits & conditions
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.
FOR CHICAGO ROLES ONLY: Expected base pay rates for the role will be between $135,000 and $145,000 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.
Section 3: Appendix - "About Company" Boilerplates