Wolters Kluwer
Senior Product Software Engineer - Agentic AI
We are seeking an experienced Agentic Engineer to develop, deploy, and optimize AI agent systems within DXG FCC CT. CT Corp is the global leader of legal entity management, corporate compliance and due diligence solutions. The ideal candidate will have deep expertise in autonomous AI systems, multi-agent architectures, and the practical implementation of agentic workflows that can operate independently to achieve complex business objectives. Responsibilities
Design and implement sophisticated AI agent systems capable of autonomous decision-making and task execution Develop multi-agent architectures that can collaborate, coordinate, and communicate effectively Create agent orchestration frameworks for complex workflow automation Build robust agent memory systems, including episodic, semantic, and procedural memory components Integrate AI agents with existing business systems, APIs, and databases Implement agent monitoring, logging, and performance tracking systems Deploy agents across various environments (cloud, on-premises, edge) Ensure seamless handoffs between human users and autonomous agents Fine-tune agent behavior through reinforcement learning and feedback mechanisms Implement safety measures, guardrails, and fail-safe mechanisms for agent operations Conduct agent alignment research to ensure output matches intended objectives Monitor and mitigate potential risks associated with autonomous agent behavior Stay current with the latest developments in agentic AI, LLM capabilities, and autonomous systems Experiment with cutting-edge agent frameworks and methodologies Contribute to the development of proprietary agent technologies and IP Collaborate with research teams on advancing the state of agentic AI Skills
Software Engineering: ability to design, develop, and maintain software systems Software Development: ability to design, write, test, and implement software programs Programming: proficiency in languages such as Python, TypeScript, Java, or C++ Problem Solving: ability to define problems and implement effective solutions Analysis: ability to break down complex problems and understand components Agile: capability to adapt to changes with a focus on continuous improvement AI Literacy: experience with LLMs and agent frameworks and orchestration platforms Collaboration: ability to translate business requirements into agent capabilities and work with data scientists Application Security Principles: understanding secure coding, access control, authentication, and security testing Public Cloud Architecture and Services: familiarity with AWS, Google Cloud, Azure and related services Qualifications
3+ years of experience with AI agents, autonomous systems, or related technologies Proficiency in Python, with experience in agent frameworks (e.g., AutoGPT, LangChain, CrewAI) Strong understanding of LLMs and their integration into agentic systems Experience with reinforcement learning, multi-agent systems, and distributed computing Knowledge of API integration, microservices, and cloud platforms Deep understanding of prompt engineering, few-shot learning, and chain-of-thought reasoning Experience with vector databases, embeddings, and retrieval-augmented generation (RAG) Familiarity with agent planning algorithms, goal decomposition, and task scheduling Understanding of AI safety principles and alignment techniques Strong software engineering fundamentals with production experience Proficiency with version control, CI/CD, and collaborative development workflows Experience with containerization (Docker, Kubernetes) and cloud deployment Knowledge of monitoring and observability tools for distributed systems Preferred Qualifications
Advanced degree in Computer Science, AI, Robotics, or related field Experience with specific agent platforms (Microsoft Semantic Kernel, OpenAI Assistants API, Anthropic Claude, etc.) Background in cognitive science, psychology, or human-computer interaction Experience with edge computing and real-time agent deployment Publications or contributions to open-source agent frameworks Experience in regulated industries requiring explainable and auditable AI systems Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development
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We are seeking an experienced Agentic Engineer to develop, deploy, and optimize AI agent systems within DXG FCC CT. CT Corp is the global leader of legal entity management, corporate compliance and due diligence solutions. The ideal candidate will have deep expertise in autonomous AI systems, multi-agent architectures, and the practical implementation of agentic workflows that can operate independently to achieve complex business objectives. Responsibilities
Design and implement sophisticated AI agent systems capable of autonomous decision-making and task execution Develop multi-agent architectures that can collaborate, coordinate, and communicate effectively Create agent orchestration frameworks for complex workflow automation Build robust agent memory systems, including episodic, semantic, and procedural memory components Integrate AI agents with existing business systems, APIs, and databases Implement agent monitoring, logging, and performance tracking systems Deploy agents across various environments (cloud, on-premises, edge) Ensure seamless handoffs between human users and autonomous agents Fine-tune agent behavior through reinforcement learning and feedback mechanisms Implement safety measures, guardrails, and fail-safe mechanisms for agent operations Conduct agent alignment research to ensure output matches intended objectives Monitor and mitigate potential risks associated with autonomous agent behavior Stay current with the latest developments in agentic AI, LLM capabilities, and autonomous systems Experiment with cutting-edge agent frameworks and methodologies Contribute to the development of proprietary agent technologies and IP Collaborate with research teams on advancing the state of agentic AI Skills
Software Engineering: ability to design, develop, and maintain software systems Software Development: ability to design, write, test, and implement software programs Programming: proficiency in languages such as Python, TypeScript, Java, or C++ Problem Solving: ability to define problems and implement effective solutions Analysis: ability to break down complex problems and understand components Agile: capability to adapt to changes with a focus on continuous improvement AI Literacy: experience with LLMs and agent frameworks and orchestration platforms Collaboration: ability to translate business requirements into agent capabilities and work with data scientists Application Security Principles: understanding secure coding, access control, authentication, and security testing Public Cloud Architecture and Services: familiarity with AWS, Google Cloud, Azure and related services Qualifications
3+ years of experience with AI agents, autonomous systems, or related technologies Proficiency in Python, with experience in agent frameworks (e.g., AutoGPT, LangChain, CrewAI) Strong understanding of LLMs and their integration into agentic systems Experience with reinforcement learning, multi-agent systems, and distributed computing Knowledge of API integration, microservices, and cloud platforms Deep understanding of prompt engineering, few-shot learning, and chain-of-thought reasoning Experience with vector databases, embeddings, and retrieval-augmented generation (RAG) Familiarity with agent planning algorithms, goal decomposition, and task scheduling Understanding of AI safety principles and alignment techniques Strong software engineering fundamentals with production experience Proficiency with version control, CI/CD, and collaborative development workflows Experience with containerization (Docker, Kubernetes) and cloud deployment Knowledge of monitoring and observability tools for distributed systems Preferred Qualifications
Advanced degree in Computer Science, AI, Robotics, or related field Experience with specific agent platforms (Microsoft Semantic Kernel, OpenAI Assistants API, Anthropic Claude, etc.) Background in cognitive science, psychology, or human-computer interaction Experience with edge computing and real-time agent deployment Publications or contributions to open-source agent frameworks Experience in regulated industries requiring explainable and auditable AI systems Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development
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