- Professional
- Bureau à Cary
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Agentic AI Engineer
About the Role
Key Responsibilities
- Build and deploy production-ready agentic AI applications using LangGraph and A2A
- Develop and integrate AI assistant systems for real-world design automation workflows
- Implement and maintain MCP servers for seamless tool integration in production environments
- Create practical AI solutions that directly enhance semiconductor design productivity
Required Qualifications
Education: Bachelor's or Master's degree in Electrical Engineering, Computer Science, or related field
Core Frameworks:
- LangGraph for multi-agent workflow orchestration
- Agent-to-Agent (A2A) communication frameworks
- LangChain, LlamaIndex, or similar LLM orchestration tools
- PyTorch, TensorFlow, Hugging Face Transformers
Software Engineering:
- Strong OOP principles and design patterns in Python
- Experience with Python packaging, testing frameworks (pytest, unittest)
- Proficiency in async programming and concurrent systems
- RESTful API development and microservices architecture
MCP Development:
- Experience building MCP servers for AI tool integration
- Understanding of protocol specifications and implementation patterns
- Knowledge of context management and state handling
- Deploy robust Python-based AI applications with focus on scalability and performance
- Translate business requirements into working AI applications and user interfaces
- Collaborate with design teams to implement AI solutions that solve immediate business challenges
- Support and maintain deployed AI applications, ensuring reliability and user satisfaction
