Product Software Engineer - Agentic AI

Wolters Kluwer; Kennesaw (GA); On-site; USD 75,000 - 128,000; Full time

Benefits offered by this job

Bonus eligibility

Job summary

Wolters Kluwer is hiring a Product Software Engineer focused on Agentic AI in Kennesaw, GA. You will design, build, test, and maintain AI-enabled software solutions, collaborating with product owners, architects, QA, DevOps, and subject matter experts.

The role emphasizes secure, scalable applications, integration of AI workflows, and cloud-based components within an Agile environment. Hybrid schedule with partial remote options and a competitive compensation package.

Qualifications

• Bachelor's degree or equivalent in CS/Engineering or related field.
• 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.
• Familiarity with Generative AI technologies and AI-enabled applications is a plus.
• Strong understanding of software engineering fundamentals, testing, and performance.
• Experience with REST APIs, microservices, and cloud services.
• Knowledge of Microsoft Azure cloud technologies.
• Security-focused software development and data privacy principles.
• Experience in Agile software development lifecycle.
• Excellent written and verbal communication skills.
• Knowledge of U.S. tax or accounting domain is a plus.

Responsibilities

• Design, develop, test, debug, and maintain software solutions under guidance.
• Build secure, scalable software for AI-enabled features.
• Develop APIs, services, and cloud-based components.
• Collaborate with Product Owners, Architects, QA, DevOps, and SMEs.
• Contribute to AI-powered workflows, prompts, and retrieval systems.
• Support CI/CD pipelines and production monitoring.

Skills

C# & .NET

REST APIs

Microservices

Azure cloud

AI/Generative AI awareness

Agile/Scrum

Problem-solving

Communication

Education

Bachelor's degree in CS/Engineering or related field

Equivalent work experience

Tools

Azure DevOps

Azure cloud services

Job description

## Product Software Engineer - Agentic AIApply: Hybrid (8 days/month): USA - Kennesaw, GA: Full time: Posted Today: R0058845The **Agentic AI Product Software Engineer** is responsible for designing, developing, testing, debugging, implementing, and maintaining software solutions that support enterprise applications and AI-enabled products. This role contributes to the delivery of scalable, secure, and high-quality software while adhering to established coding standards, secure development practices, and modern engineering principles. 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.## 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 USDThis 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.*