PUNE 05

Full time

R56426

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

AI Full Stack Engineer, Ontologies & Knowledge Graphs (Agentic AI, Surrogates, Physical AI) —

Experience: 6 yrs

Job Location : Pune

Summary: Makes our simulation products AI-accessible. Our products have rich programmatic surfaces — scripting APIs, file formats, data structures, workflow logic — that are powerful but not designed for AI consumption. This engineer defines the ontology schema that describes those surfaces, builds the knowledge graphs on top of them, and wraps them as structured, typed interfaces that AI agents can discover and invoke.

Responsibilities

- Define and maintain ontology schemas describing product capabilities, entities, and relationships

- Build and maintain knowledge graphs over product documentation, APIs, and simulation data

- Build structured tool interfaces exposing product capabilities to AI systems

- Write connectors to product APIs, parsers, and data access layers

- Implement retrieval and context layers over product knowledge

- Work with domain engineers to translate simulation workflows into discrete, callable operations

- Review product ontologies for agentic-readiness across 2–3 products

Skills we need
- Solid Python; experience building and consuming REST APIs

- Familiarity with graph databases and/or ontology/semantic modeling (RDF, OWL, property graphs, or equivalent)

- Experience with at least one agent framework (LangChain, LangGraph, AutoGen, CrewAI, or similar)

- Understanding of how LLMs consume context and call tools

- Comfortable working within unfamiliar or undocumented codebases





- Systems thinker — able to decompose a complex legacy workflow into discrete, callable steps

Nice to have

Vector databases; agent-tool interface development; parsing structured file formats; exposure to CAE/FEA/CFD, surrogate modeling, or physical AI.

Deliberately not required: Deep simulation domain knowledge — domain engineers provide that. No PhD or ML research background.

We’re doing work that matters. Help us solve what others can’t.

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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.

Cadence is committed to creating a diverse environment and 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.

📌 Ontologies & Knowledge Graphs (Agentic AI, Surrogates, Physical AI) (Pune)
🏢 Cadence Design Systems
📍 Pune