AI-Driven Product Software Engineer - GenAI & Azure

Wolters Kluwer N.V.

Kennesaw (GA)

Hybrid

USD 75,000 - 128,000

Full time

5 days ago
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Benefits offered by this job

Medical, Dental, & Vision Plans
401(k)
FSA/HSA
Commuter Benefits
Tuition Assistance Plan
Vacation and Sick Time
Paid Parental Leave

Job summary

Wolters Kluwer is seeking an Agentic AI Product Software Engineer in Georgia to design, develop, test, and maintain AI-enabled software for enterprise applications, with emphasis on security, reliability, and scalability.

You will collaborate with Product Owners, Architects, QA, DevOps, and tax experts to deliver AI-powered features, APIs, and cloud components, using modern engineering practices and Azure services in an Agile environment.

Qualifications

  • Bachelor's degree in CS, Eng, or related field
  • 2–5 years of professional software development experience
  • 2+ years building web applications, APIs, and cloud-based solutions
  • Experience with C# and .NET
  • Familiarity with Azure cloud technologies and REST APIs/microservices

Responsibilities

  • Design, develop, test, debug, implement, and maintain software with guidance from senior engineers and architects
  • Build secure, scalable, and maintainable software that meets business requirements
  • Develop AI-powered features using LLMs, prompt engineering, retrieval-based approaches, and workflow automation techniques
  • Develop and integrate APIs, application services, and cloud-based components
  • Participate in implementing agentic AI solutions and intelligent workflows
  • Support CI/CD pipelines and production monitoring using Azure DevOps

Skills

C# & .NET
Azure cloud
REST APIs & Microservices
Agile methodologies
Problem-solving & debugging

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Azure DevOps

Job description

Wolters Kluwer is seeking an Agentic AI Product Software Engineer in Georgia to design, develop, test, and maintain AI-enabled software for enterprise applications, with emphasis on security, reliability, and scalability.

You will collaborate with Product Owners, Architects, QA, DevOps, and tax experts to deliver AI-powered features, APIs, and cloud components, using modern engineering practices and Azure services in an Agile environment.

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