Senior Software Product Engineer- Agentic AI

Wolters Kluwer • New York, NY

64d • $114,750 - $160,450

About The Position

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.

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

Nice To Haves

• 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

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

Benefits

• 401k
• health_insurance
• dental_insurance
• vision_insurance
• life_insurance
• disability_insurance
• paid_holidays
• paid_volunteer_time
• flexible_scheduling
• tuition_reimbursement
• professional_development
• employee_discount_programs
• wellness_programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees