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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Software Engineer - Agentic AI - **Company:** Wolters Kluwer - **Location:** Kennesaw, GA, United States - **Experience:** Experienced - **Salary:** $74,700.0 - $127,950.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Component-Based Software Engineering, Application Services, Automated Storage and Retrieval Systems, User Authentication, Unit Testing, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Software Debugging, DevOps, Web Development, Performance Tuning, Software Product Management, Software Maintenance, Cloud Services, AI-enabled Products, Secure Coding, Software Engineering, Software Systems, Enterprise Software Applications, Large Language Models, Prompt Engineering, Software Application Programming, Generative AI, Agentic-AI, AI Platforms, Integration Tests, Information Technology, Software Coding, Restful APIs, Microservices - **Published:** October 23, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3467177873&tx=JL8983FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and experience. * 2-5 years of professional software development experience. * 2+ years of experience developing applications using C# and .NET. * Experience building web applications, APIs, and cloud-based solutions. * Exposure to Generative AI technologies, AI-enabled applications, or AI-assisted development tools is preferred. * Understanding of software engineering fundamentals including application design, testing, debugging, and performance optimization. * Understanding of REST APIs, microservices, and cloud services. * Familiarity with Microsoft Azure cloud technologies. * Understanding of secure software development practices, authentication, authorization, and data privacy principles. * Experience working within an Agile software development lifecycle. * Strong analytical, troubleshooting, and problem-solving skills. * Ability to learn new technologies and adapt in a fast-paced environment. * Excellent written and verbal communication skills. * Knowledge of the U.S. tax or accounting domain is a plus. ## Description We are seeking a software engineer who is excited about building next-generation AI-powered solutions within the Wolters Kluwer Tax & Accounting division. This role combines modern software engineering with emerging Generative AI technologies to help create intelligent products that improve customer workflows and business outcomes. The engineer will work closely with Product Owners, Architects, Senior Engineers, QA, DevOps, and tax subject matter experts to develop and enhance AI-enabled capabilities. The ideal candidate enjoys solving technical challenges, learning new technologies, and delivering high-quality software in a collaborative Agile environment. In this role, you will contribute to software enhancements, technical documentation, AI-powered features, and continuous improvement initiatives while helping deliver enterprise-grade solutions focused on security, reliability, maintainability, and customer value., * Design, develop, test, debug, implement, and maintain software solutions with guidance from senior engineers and architects. * Develop secure, scalable, and maintainable software that meets business and technical requirements. * Build and enhance AI-powered application features using LLMs, prompt engineering, retrieval-based approaches, and workflow automation techniques. * Develop and integrate APIs, application services, and cloud-based components. * Participate in the implementation of agentic AI solutions and intelligent workflows under established architectural guidance. * Assist in the development and enhancement of AI-powered workflows, including prompt-based solutions, retrieval systems, and agentic capabilities. * Develop and support integrations between AI services, APIs, business rules, and application components. * Participate in testing and validation activities to help improve the accuracy, reliability, and quality of AI-enabled features. * Troubleshoot and resolve application defects, AI workflow issues, and production incidents. * Optimize applications for performance, scalability, reliability, and maintainability. * Follow development best practices, coding standards, secure coding guidelines, and established engineering processes. * Create and maintain unit tests, integration tests, and validation mechanisms to ensure software quality. * Participate in code reviews, design discussions, and technical documentation activities. * Collaborate with Product Owners, Business Analysts, Architects, QA, DevOps, Security, and cross-functional teams to understand business requirements and deliver quality solutions. * Support CI/CD pipelines, deployment activities, release readiness, and production monitoring using Azure DevOps and related tooling. * Build solutions with enterprise SaaS expectations in mind, including security, compliance, data privacy, observability, and supportability. * Identify technical risks and communicate concerns to team members and stakeholders. * Continuously learn and apply emerging technologies, particularly Generative AI, Azure cloud services, AI-assisted development tools, and modern software engineering practices. * Perform other duties as assigned by management.