About this role
Basic Function
Under moderate supervision, designs, develops, tests, debugs and deploys moderately complex customer-intent software solutions, along with creating and supporting software tools and utilities required for the operation, maintenance, and control of the software system. Makes moderately complex modifications to existing software to fit specialized needs and configurations and maintains program libraries and technical documentation. Assists in planning, scheduling and implementation and initiates corrective action(s) to stay on schedule.
You will create autonomous AI agents in Python and craft effective prompts for generative AI models.In addition, you will be able to develop and maintain UI applications and back-end services that consume agentic AI workflows using TypeScript, React.js, and NodeJS. Your role will involve implementing security best practices, optimizing and improving accuracy of AI agents and e2e performance. You will participate in Agile development processes, peer code reviews, estimation, and sprint planning.
Essential Duties and responsibilities
- Develop and maintain AI agents in Python. This involves creating autonomous AI agents that can perceive their environment, make decisions, and take actions to achieve specific goals also using large language models (LLMs) and / or a willingness to learn this.
- Craft effective prompts to guide generative AI models (like ChatGPT) to produce desired outputs.
- Experience with observability preferably creating insights into agentic workflow’s.
- Develop and maintain applications that act as consumer of agentic ai workflows using typescript, React.js and NodeJS
- Implement security best practices for web applications, including authentication and authorization mechanisms
- Participate in Agile development, peer code reviews, estimation and sprint planning
Job Qualifications
Education:
- Bachelor’s degree in Computer Science, Information Technology, MIS, or related field.
- Experience:
- Minimum of 7 years of experience in the software industry
- Experience with creating agentic AI in Python. This involves creating autonomous AI agents that can perceive their environment, make decisions, and take actions to achieve specific goals also using large language models (LLMs)
- Experience in working in agile teams using technologies like Python, Node.JS, React.Js, typescript and different kind of datastores.
- Experience in software development, with proficiency in both frontend and backend technologies.
- Strong understanding of software engineering principles, architecture, and best practices.
- Experience in end-to-end software project delivery, from conception to deployment
- Key Skills:
- Experience with creating agents in python with frameworks like LangChain and LangGraph.
- Cloud & DevOps: Docker, Jira, Git, Rush, (we use infra as code but run containers for local development)
- Hands-on experience with AWS, Docker, and CI/CD pipelines
- Backend & API Integration: Node.js creation of RESTful APIs (and orchestration)
- Web Technologies: HTML, CSS, JavaScript, TypeScript
- Security & Logging: Security Best Practices, ELK, Kibana
- Version Control & Build Tools: GitHub/BitBucket
- AI Code Generation tools like GitHub Copilot
- Mandatory Skills:
- Strong experience in the development with Python and Agentic AI workflows
- Knowledge of Security best practices (e.g., authentication, authorization, secure coding.
- Nice to have skills:
- Design for accessibility.
- Work with MS copilot to enhance productivity
- Experience in Typescript and NodeJS
- Proficiency in HTML, CSS, and JavaScript
- Strong experience in Unit Testing (vitest, Cypress) and Logging frameworks
- Competencies/Soft skills:
- Critical thinkers who like engineering challenges.
- Proficiency in English. Both verbal and written.
- Working in an international environment with different cultures.
- Proactive and not afraid to reach out to other teams for help and suggestions.
- Being able to show and present both problems and great solutions.
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
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.
Other facts
About Wolters Kluwer
Wolters Kluwer (EURONEXT: WKL) is a global leader in information, software solutions, and services for professionals in healthcare; tax and accounting; financial and corporate compliance; legal and regulatory; corporate performance and ESG. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with technology. Wolters Kluwer reported 2024 annual revenues of €5.9 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs approximately 21,000 people worldwide. The company is headquartered in Alphen aan den Rijn, the Netherlands.
Equal Opportunity Employer
To ensure we continue to drive innovation that enables us to develop products and services to best serve our customers, we cultivate a workplace culture rooted in mutual respect, bringing forward insights from a wide range of backgrounds, perspectives, and experiences. We are also committed to complying with laws requiring equal opportunity in hiring, promotion, and other employment decisions.
All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status, and sexual orientation), national origin, disability, age, genetic information, veteran status, or any other characteristic protected by applicable law, and we do not tolerate discrimination on any of these bases.
Beware of Recruitment Fraud! 🔒
Scammers may pose as Wolters Kluwer, offering fake job opportunities and requesting personal info or payments. Protect yourself:
- Apply only via our secure Workday hub on our Careers page.
- Our recruiters never ask for banking info or payments.
- We don't use public email accounts (e.g., Hotmail, Yahoo, Gmail).
Report suspected fraud: [email protected]. If you've made a payment, contact local authorities.
Read more here - https://careers.wolterskluwer.com/en/recruitment-fraud-alert
What you'll do
- The Senior AI Product Engineer will design, develop, test, debug, and deploy customer-intent software solutions, including creating autonomous AI agents in Python. The role also involves developing UI applications and back-end services that utilize agentic AI workflows.
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