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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering, Full Stack - AI - **Company:** Fitch Group, Inc. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $145,000.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Adobe InDesign, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Applications Architecture, Software Suite, Confluence, JIRA, Automation of Tests, Browser Compatibility, Cloud Computing, Computer Networks, Continuous Integration, Information Engineering, Data Visualization, Relational Databases, Software Debugging, Distributed Systems, Amazon DynamoDB, Elasticsearch, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, NoSQL, Open Source Technology, Oracle (Applications), Package Management Systems, Regression Testing, Search Technologies, Software Engineering, Apache Solr, Test Case, TypeScript, Management of Software Versions, Web Application Frameworks, Enterprise Software Applications, Apache Yarn, ReactJS, Large Language Models, Spring-boot, Software Security, Generative AI, Backend, Git, Cloudformation, Fastapi, Data Layers, Containerization, Webpack, Kubernetes, Atlassian Tools, Npm(Software), Bitbucket, Front End Software Development, Route53, Mocha, Devsecops, Jasmine, Atlassian Bamboo, Microservices - **Published:** July 28, 2026 - **Apply:** https://www.dice.com/job-detail/0183a936-0ef6-426e-b5fd-ff25ba374568 ## About the Role 2. 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., 1. 7+ years of experience designing and developing distributed application architecture of moderate-to-high complexity. 2. 7+ years of experience designing and developing distributed application architectures of moderate-to-high complexity. 3. 7+ years of software engineering experience, with strong backend development expertise in Java and Python. 4. Strong hands-on experience building scalable backend services using technologies such as Spring Boot, Fast API, or similar frameworks. 5. 5+ years of experience designing and developing scalable web applications using modern front-end frameworks such as React, TypeScript. 6. Proven experience building and supporting microservices-based architectures in cloud-native environments. 7. Hands-on experience designing and deploying AI/ML solutions in production. 8. Strong knowledge of generative AI concepts, including experience with embeddings, vector stores, RAG, and LLM integration. 9. Experience building GenAI applications using tools and frameworks such as LangChain, LangGraph, and leading LLM providers or open-source models. 10. Experience with relational databases such as Oracle or PostgreSQL, and familiarity with NoSQL and search technologies such as MongoDB, DynamoDB, Elasticsearch, or Solr. 11. 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. 12. Experience working in high-performance teams using Agile methodologies. 13. 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: 1. Experience building AI-enabled features for customer-facing enterprise applications. 2. Exposure to AWS services such as EC2, S3, Route 53, CloudFront, CloudFormation, and networking concepts such as VPCs, subnets, and security groups. 3. Experience with containerization and container orchestration technologies. 4. Familiarity with data engineering and modern data architecture patterns. 5. Experience with observability, monitoring, and production support for distributed systems. 6. Familiarity with Atlassian tools such as JIRA, Confluence, Bitbucket, and Bamboo. 7. Experience mentoring engineers and influencing technical standards across teams. 8. Exposure to business intelligence or data visualization tools. ## Description 1. Demonstrate technical expertise in full-stack technologies, AI-enabled solutions for enterprise-scale applications and applications., 1. 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. 2. 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. 3. Collaborate with Product Owners and stakeholders to understand business needs, define and develop applications/architecture, design, review, implement, and optimize Engineering processes. 4. Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownership. 5. Maintain and enhance microservices-based components for the application suite. 6. Recommend, create, and maintain development best practices and guidelines to be used across various applications. 7. Write automated unit, integration, performance, and visual regression test cases. 8. Integrate test case execution with the CI/CD pipeline to better align with the DevSecOps strategy. 9. Promote, implement, and evolve development best practices, especially on commits, versioning, and dependency management. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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