Agentic AI Engineer at Cadence Design Systems

Tsarychanka, Dnipropetrovsk Oblast, Ukraine -

Full Time

Start Date

Immediate

Expiry Date

17 Jan, 26

Salary

0.0

Posted On

20 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LangGraph, A2A Communication, LangChain, LlamaIndex, PyTorch, TensorFlow, Hugging Face Transformers, OOP Principles, Python Packaging, Testing Frameworks, Async Programming, RESTful API Development, Microservices Architecture, MCP Development, Context Management, State Handling

Industry

Software Development

Description

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 We’re doing work that matters. Help us solve what others can’t. Additional Jobs Equal Employment Opportunity Policy: Cadence is committed to equal employment opportunity throughout all levels of the organization. Read the policy(opens in a new tab) We welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact staffing@cadence.com. Privacy Policy: Job Applicant If you are a job seeker creating a profile using our careers website, please see the privacy policy(opens in a new tab). E-Verify Cadence participates in the E-Verify program in certain U.S. locations as required by law. Download More Information on E-Verify (64K) Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world’s toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.

Responsibilities

Build and deploy production-ready agentic AI applications and develop AI assistant systems for design automation workflows. Implement and maintain MCP servers for tool integration and create AI solutions to enhance semiconductor design productivity.