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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Product Software Engineer - **Company:** Wolters Kluwer - **Location:** Coppell, TX, United States - **Experience:** Expert - **Salary:** $116,400 - $204,100 - **Contract:** Permanent contract - **Skills:** ASP.NET, .NET Framework, Artificial Intelligence, Microsoft Azure, Code Coverage, Code Generation, Github, Internet Information Services (IIS), Python (Programming Language), Microsoft Silverlight, Microsoft SQL Server, Nunit, OAuth, OpenID, Oracle (Applications), Scrum Methodology, Software Product Management, Tensorflow, Azure DevOps Pipelines, Software Engineering, Web Services, Reinforcement Learning, Datadog, Scripting, Pytorch, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Hallucination Detection, Model Validation, Technical Debt, AI Platforms, AngularJS, CrewAI, AutoGen, Artificial Intelligence Governance, Restful APIs, New Relic (SaaS), Jasmine - **Published:** November 10, 2026 - **Apply:** https://wk.wd3.myworkdayjobs.com/External/job/USA---Coppell-TX/Lead-Product-Software-Engineer_R0060411 ## About the Role * 8+ years in software engineering with deep .NET and Angular expertise. 1+ year of agentic AI development. * Proven technical leadership: architecture, design reviews, roadmap planning, and cross-team delivery. * Strong in REST API design, SQL Server, relational design, IIS and self-hosted deployments, Azure, Azure DevOps CI/CD, and GitHub. * Strong testing discipline (NUnit, Jasmine, code coverage) and production support experience. * Advanced AI tool proficiency, including responsible-AI practices and AI output validation. * Excellent communication, analytical, and problem-solving skills, plus strong ownership and accountability. * Agile/Scrum experience. * Preferred Qualifications * Python proficiency (or similar scripting language) for AI/agent development. * LLM architecture knowledge, including inference, context limits, and cost/latency tradeoffs. * ReAct, Chain-of-Thought, and structured-output prompting. * Agentic RAG, vector databases, and embeddings. * LangChain, AutoGen, CrewAI, and multi-agent orchestration. * Agent ecosystem design: reasoning engines, memory, tool interfaces, and goal management. * Model evaluation, hallucination mitigation, and safe action loops. * TensorFlow/PyTorch and reinforcement learning concepts. * Legacy modernization experience (for example Silverlight/Web Forms to Angular). OAuth/OIDC and Oracle are also welcome. ## Description As Technical Lead, you will shape the technical direction of a multi-year transformation that is already producing measurable delivery, performance, and user-experience gains. You will own delivery for customer self-service, License Intelligence, workflow, reporting, integrations, and AI-enabled compliance experiences. You are a hands-on lead and trusted partner to Product and Engineering management. You enjoy solving modernization and scale challenges, not only reviewing designs. You will also mentor engineers and set standards for AI-assisted and agentic development., * Partner with product and engineering management to define the technical strategy and roadmap. Translate business priorities and customer needs into clear technical priorities. * Own delivery from requirement clarification and design through implementation, testing, release, and post-release validation. * Create practical delivery plans covering architecture, milestones, sequencing, owners, dependencies, timelines, and success measures. * Manage competing priorities across workstreams by proposing options, sequencing work, and assigning ownership. * Lead architecture and design reviews. Document major decisions and balance tradeoffs across delivery, reliability, security, quality, maintainability, and cost. * Guide the evolution from tightly coupled legacy applications toward modular business capabilities, modern APIs and services, and cloud-based operations. * Identify risks, blockers, and dependencies early. Communicate scope or timeline changes, recommend mitigations, and escalate when needed. * Represent the team in cross-team technical discussions and drive decisions and dependencies to resolution. * Own the technical and operational health of the team's applications and AI services. Monitor service health with New Relic and Datadog, and maintain prioritized plans for tech debt, reliability, and architecture improvements. * Establish team practices for planning, testing, release readiness, quality standards, incident follow-up, and continuous improvement. * Evaluate and optimize AI tool use. Set validation standards and review processes for AI-generated code. Lead responsible-AI practices. * Design and optimize agentic workflows for team efficiency and product features. * Stay hands-on in .NET, Angular (v18+/NgRx), REST APIs, SQL Server, and Azure. * Mentor engineers through delegation and actionable feedback. Give management evidence-based input on growth and performance. * Participate in planned deployments, incident response, and urgent production fixes outside normal hours when needed.