Product Software Engineer – Full Stack | .NET | Angular | – AI Solutions

Wolters Kluwer•Kennesaw, GA

3d•$74,700 - $127,950•Hybrid

About The Position

The 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.

Requirements

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.
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.

Nice To Haves

Exposure to Generative AI technologies, AI-enabled applications, or AI-assisted development tools is preferred.
Knowledge of the U.S. tax or accounting domain is a plus.

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.