- Professional
- Optionales Büro in 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
