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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Product Software Engineer - AI - **Company:** Wolters Kluwer - **Location:** Coppell, TX, United States - **Experience:** Experienced - **Salary:** $144,500.0 - $258,300.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Microsoft Azure, C++ (Programming Language), Databases, Data Mining, Cursor (Graphical User Interface Elements), Python (Programming Language), Machine Learning, Pair Programming, Software Product Management, Tensorflow, Azure Machine Learning, Software Construction, Web Application Frameworks, GitHub Copilot, Large Language Models, Prompt Engineering, AI Platforms, Information Technology, HuggingFace, Data Analytics, Extreme Programming, Machine Learning Operations, GPT - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c8746ebaac0bc38a ## About the Role This role is ideal for a Principal Engineer with strong experience building AI agents, document intelligence systems and production-grade AI workflows and has experience with taking AI products from concept to production (0->1) ., Technical Foundation: * Bachelor Degree in Computer Science or Equivalent * 9+ years building software applications (experience with Python, Java or C++) * 3+ years hands-on experience with LLMs or AI systems (NLP preferred) * Full-stack development capabilities * Experience with Agile/XP practices including TDD/BDD and pair programming * Proficiency with AI coding tools (GitHub Copilot, Cursor, or similar) * Regular use of GenAI utilities (ChatGPT, Claude, etc.) for development workflow Technical Project Leadership: * 6+ years leading complex technical projects from inception to delivery * Experience working in startup-like environments or innovation teams * Comfort working in collaborative, fast-paced Agile environments with weekly sprints and blurred (but aligned) role boundaries AI/ML Experience: * Working knowledge of AI/ML frameworks (LangChain, LangGraph, Hugging Face, OpenAI APIs) * Experience with vector, databases and embeddings * Understanding of prompt engineering and AI optimization Communication Skills: Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams., Microsoft Azure AI-102 certification is highly desired or able to get certified in first 30 days- our team is 100% certified and we value this demonstration of Azure AI expertise * Experience with Azure AI services, Azure AI Document Intelligence, advanced AI frameworks, or multi-modal AI systems * Background in dynamic environments like startups, innovation teams, or product-focused companies that prioritize customer co-design and rapid value delivery * Experience with document processing, financial data analysis, or B2B professional software * Experience with MLOps, AI governance, or cross-portfolio AI implementations, particularly in regulated/compliance-driven environments We encourage applications from candidates with diverse backgrounds who have strong technical skills, project leadership experience, and can adapt quickly to new challenges in a customer-focused, innovation-driven environment. ## Description Build AI Agent Systems: Design and implement task-focused AI agents that assist thousands of professional's audit work. Building Document understanding and structured-data extraction systems. Leading production-grade AI services and shipping working capabilities quickly and iterating with Product & customer teams. Cross-Portfolio Innovation: Work across TAA's product portfolio, enabling other teams while building AI solutions that can be applied to multiple products and customer segments. Technical Leadership: Design and implement AI features using Python and modern frameworks. Build intelligent document processing, automated workflows, and AI-powered analytics with a focus on security, product experience, and scalability. Close Collaboration: Work in Audit's collaborative model where engineers understand business problems as deeply as technical solutions, partnering closely with product managers who prototype their own ideas. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)