Senior Product Software Engineer, Agentic AI

Wolters Kluwer

full-time

Posted on: 9/25/2025

Origin: • 🇺🇸 United States

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Job Level

Senior

Tech Stack

CloudDistributed SystemsDockerJavaKubernetesMicroservicesPythonTypeScript

About the role

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 latest developments in agentic AI, LLM capabilities, and autonomous systems
Experiment with cutting-edge agent frameworks and methodologies and contribute to proprietary agent technologies and IP
Collaborate with research teams on advancing the state of agentic AI

Requirements

3+ years of experience working with AI agents, autonomous systems, or related technologies
Proficiency in Python, with experience in agent frameworks (AutoGPT, LangChain, CrewAI, etc.)
Strong understanding of large language models (LLMs) and their integration into agentic systems
Experience with reinforcement learning, multi-agent systems, and distributed computing
Knowledge of API integration, microservices architecture, 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 experience in production environments
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
Skills: Software Engineering, Software Development, Programming (Python, TypeScript, Java, C++), Problem Solving, Analysis, Agile, AI Literacy, Collaboration, Application Security Principles, Public Cloud Architecture and Services
Preferred: Advanced degree in Computer Science, AI, Robotics, or related field; experience with Microsoft Semantic Kernel, OpenAI Assistants API, Anthropic Claude; publications or open-source contributions; experience in regulated industries and edge computing