Principal AI Flow Development Engineer

Synopsys Inc; Dublin; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Comprehensive health benefits

Wellness programs

Financial benefits

Job summary

Synopsys Inc is seeking an accomplished AI Engineer in Dublin, Ireland. This role involves architecting multi-agent systems and developing intelligent automation solutions for semiconductor IP projects. Candidates should have over 5 years of experience in AI/ML software development with strong Python skills.

You will collaborate with IP designers to enhance development cycles and implement AI solutions. A comprehensive benefits package is offered, including health and wellness perks.

Qualifications

• 5+ years in software development with AI/ML focus.
• Expertise in GenAI, RAG, and agentic AI systems.
• Understanding of semiconductor IP development practices.

Responsibilities

• Architect multi-agent systems for IP R&D automation.
• Design AI copilots with tool use and planning capabilities.
• Optimize retrieval quality through evaluation and reranking.

Skills

AI/ML software development

GenAI expertise

Advanced Python proficiency

ETL pipelines experience

Strong problem-solving

Education

BS in Engineering, Computer Science, or related field

Tools

LangChain

LlamaIndex

CrewAI

EDA tools

Job description

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
• Translate 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.