Product Software Engineer - Agentic AI

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.

Responsibilities:

• 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.

Qualifications

• 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.

#LI-Hybrid

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$74,700.00 - $127,950.00 USD

This role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.