We are seeking a highly skilled Senior AI / Full Stack Engineer with deep expertise in modern AI systems and strong hands-on experience in full-stack development. This role focuses on building AI-powered and agentic applications, leveraging LLMs, autonomous agents, and intelligent workflows.
You will design and develop systems that incorporate advanced LLM techniques, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and agent-based architectures, enabling intelligent automation and decision-making across applications.
Must Have:
- 9+ years of professional software development experience, 2 years of relative experience in building AI product
- Strong expertise in C#, .NET Core/.NET Framework
- Solid experience with RESTful APIs and distributed systems
AI / LLM & Agentic Systems
- Strong understanding of AI/ML concepts with hands-on AI application development
- Experience working with Large Language Models (LLMs) (Azure OpenAI, OpenAI, etc.)
LLM & RAG Foundations
- Deep knowledge of:
- Prompt engineering & optimization
- Retrieval-Augmented Generation (RAG)
- Embeddings and vector databases (Azure AI Search, Pinecone, FAISS, etc.)
- Tokenization, context handling, hallucination mitigation
Agentic AI & MCP Expertise
- Strong understanding of agent-based architectures (single-agent & multi-agent systems)
- Experience designing and building autonomous or semi-autonomous AI agents
Agent Frameworks
- Hands-on experience with frameworks such as:
- Semantic Kernel (preferred for .NET ecosystem)
- LangChain / LangGraph
- LlamaIndex / AutoGen (or similar)
Agent Capabilities
- Experience implementing:
- Tool-using agents (function calling, API integrations)
- Planning and reasoning workflows (ReAct or similar patterns)
- Agent orchestration and workflow automation
- Building or integrating MCP-compatible servers/tools
- Understanding of:
- Memory models (short-term, long-term, vector memory)
- Human-in-the-loop systems
- AI guardrails, safety, and observability
Core Engineering Skills
- Strong knowledge of multi-threading, scalability, performance, and security
- Experience with relational databases (SQL Server, PostgreSQL)
- Experience with cloud platforms (Azure preferred)
- Knowledge of Azure AI ecosystem (Azure OpenAI, Cognitive Services, AI Search)
- Experience working in Agile/Scrum environments
- Strong debugging, problem-solving, and analytical skills
- Experience with Git and version control systems
Nice to Have
- Experience with Python for AI/ML pipelines
- Experience with fine-tuning or custom LLM pipelines
- Exposure to Graph-based systems / Knowledge Graphs (Neo4j, Cosmos DB, etc.)
- Experience with multi-agent orchestration frameworks (CrewAI, advanced AutoGen use cases)
- Frontend experience with ReactJS, JavaScript, HTML5, CSS3
- Knowledge of CI/CD and MLOps practices
- Experience with model evaluation, monitoring, and prompt/agent testing frameworks
- Exposure to multi-modal AI systems
- Familiarity with MCP ecosystems, tool registries, or emerging AI interoperability standards
Essential Duties and Responsibilities
- Design and develop AI-first and agentic applications using LLMs and modern frameworks
- Build and optimize RAG pipelines, embeddings, and semantic search systems
- Design and implement autonomous agents and multi-agent workflows
- Develop and integrate MCP-based tools and services to enable AI interaction with enterprise systems
- Integrate AI capabilities into enterprise applications and backend systems
- Collaborate with architects to build scalable AI-enabled cloud architectures
- Ensure performance, reliability, safety, and observability of AI systems
- Guide and mentor developers in AI engineering and agentic design patterns
- Work closely with product, design, and data teams to deliver AI-driven features
- Troubleshoot and resolve complex issues across AI and traditional systems
- Maintain clean, testable, and well-documented code
- Stay updated with latest advancements in LLMs, agentic AI, MCP, and AI tooling ecosystem
What We’re Looking For
- Engineer who can build production-grade AI systems, not just prototypes
- Strong understanding of LLMs, agents, and tool integration protocols (like MCP)
- Ability to design end-to-end intelligent workflows and automation systems
- Balance of software engineering excellence + AI innovation mindset
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.
Skills Required
- 9+ years of professional software development experience
- 2 years of relative experience in building AI products
- Strong expertise in C#, .NET Core/.NET Framework
- Solid experience with RESTful APIs and distributed systems
- Strong understanding of AI/ML concepts with hands-on AI application development
Wolters Kluwer Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wolters Kluwer and has not been reviewed or approved by Wolters Kluwer.
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Leave & Time Off Breadth — Time away benefits are positioned as broad, spanning vacation and sick time plus paid holidays and other covered leave types. Paid parental and caregiver leave, bereavement leave, and a volunteer day contribute to a more comprehensive time-off offering.
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Retirement Support — Retirement support is framed as meaningful through access to a 401(k)/retirement plan paired with company matching and additional contribution features in some descriptions. This is reinforced by mentions of profit sharing and other long-term savings-oriented programs.
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Parental & Family Support — Family-oriented support stands out through adoption assistance and paid parental leave provisions. These benefits are described alongside other caregiver supports that extend beyond basic leave categories.
Wolters Kluwer Insights
What We Do
Wolters Kluwer (www.wolterskluwer.com) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services. Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, the company serves customers in over 180 countries, maintains operations in over 40 countries and employs 18,600 people worldwide. Wolters Kluwer reported 2019 annual revenues of €4.6 billion. Listed on Euronext Amsterdam, Wolters Kluwer shares (WKL) are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).
