CT Corp is seeking an experienced Agentic Engineer to develop, deploy, and optimize AI agent systems within DXG FCC CT to achieve complex business objectives independently.
Requirements
- 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)
- Experience with containerization (Docker, Kubernetes) and cloud deployment
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)
Other
- 3+ years of experience working with AI agents, autonomous systems, or related technologies
- Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
- Collaboration: Work closely with product managers to translate business requirements into agent capabilities and collaborate with data scientists on training and fine-tuning agent models
