We Are At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. You Are You are an accomplished AI engineer with a deep understanding of GenAI, RAG, and agentic AI systems. You enjoy architecting robust, production-ready solutions that streamline technical workflows and empower teams. What You’ll Be Doing Agent & Workflow Development Architect multi-agent systems and agentic workflows for IP R&D automation Design and implement AI copilots with tool use, planning, and memory capabilities Build prompt systems and orchestration logic for complex, multi-step tasks RAG & Knowledge Systems Design retrieval pipelines for semiconductor IP documentation (specs, verification reports, design docs) Build ETL (Extract-Transform-Load) workflows for document parsing, chunking, and semantic enrichment Optimize retrieval quality through evaluation, reranking, and hybrid search strategies Integration & Interoperability Implement MCP (Model Context Protocol) servers/clients for secure context sharing across enterprise tools Build A2A (Agent-to-Agent) integrations connecting AI services with existing IP development workflows Develop APIs enabling seamless interaction between agents and EDA (Electronic Design Automation) tools Production & Reliability Establish evaluation frameworks: retrieval metrics, agent task success rates, output quality scoring Implement guardrails for output validation, hallucination detection, and domain accuracy Build observability infrastructure: tracing, token usage monitoring, latency tracking Optimize for cost/performance through caching, model routing, and token management Collaboration Partner with IP designers and verification engineers to capture domain expertise Translating R&D workflow pain points into AI-powered solutions Document architecture, prompt strategies, and integration patterns for team scaling The Impact You Will Have Accelerate IP development cycles through intelligent automation Reduce manual effort via smart copilots and agentic workflows Enable data-driven decisions through AI-powered insights Improve accuracy and consistency across verification and documentation tasks What You’ll Need 5+ years in software development with AI/ML focus Expertise in GenAI, RAG, and agentic AI systems Advanced Python proficiency (modularity, testing, documentation) Understanding of semiconductor IP development practices Experience with ETL pipelines, observability, and cloud deployment BS in Engineering, Computer Science, or related field Nice to Have Experience with agentic frameworks (e.g., LangChain, LlamaIndex, CrewAI, or equivalent) Familiarity with MCP and A2A integration patterns Background in EDA tool integration Who You Are Innovative problem-solving with AI Strong cross-functional collaboration skills Ability to translate technical concepts for diverse audiences Self-motivated, adaptable approach to continuous learning The Team You’ll Be A Part Of Join an engineering team pioneering GenAI solutions for Digital Interface Controller IP, working closely with stakeholders to deliver transformative AI applications. Rewards and Benefits We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. #J-18808-Ljbffr
A leading technology firm in Dublin is seeking an AI Engineer to innovate in GenAI solutions for chip design. The role involves architecting multi-agent systems, developing AI copilots, and implementing integrations across IP development workflows. Candidates should have 5+ years in software development with an AI/ML focus and expertise in GenAI and agentic AI systems. The position offers competitive benefits and opportunities for impactful contributions in a dynamic team environment. #J-18808-Ljbffr
