Agentic AI Engineer

Summary

Synopsys, a global leader in engineering simulation software, is seeking an Agentic AI Engineer to help shape the future of technology. The role involves designing AI-driven solutions that enhance user productivity, developing high-performance AI systems, and collaborating with teams to integrate innovative features into products.

Responsibilities

• Designing and implementing robust, end-to-end agentic workflows within the Ansys Mechanical product using cutting-edge AI technologies
• Analyzing real-world usage data to iteratively improve workflow effectiveness and user experience
• Developing and optimizing embedding pipelines and integrating with vector databases to achieve high-performance, cost-effective AI systems
• Creating, refining, and deploying high-quality Large Language Model prompts to deliver impactful AI-powered user interactions
• Deploying AI workflows to local networks, ensuring secure and reliable integration into existing infrastructure
• Investigating and resolving defects in production code, enhancing software reliability and user trust
• Developing comprehensive unit tests for new features, ensuring maintainable and error-resistant codebases
• Analyzing results from AI workflows to drive continuous improvements in software usability, reliability, and performance

Skills

• A bachelor's degree in Computer Science or a related field, ideally with coursework in Artificial Intelligence and Machine Learning with 2+ years of hands-on experience is a plus
• Demonstrable experience working with Large Language Models in production environments
• Proficiency in scripting languages, especially Python, for rapid prototyping and workflow automation
• Strong analytical and algorithmic problem-solving skills, with a focus on scalable and efficient solutions
• Experience with unit testing, debugging, and code optimization in complex software systems
• Familiarity with development tools such as Microsoft Visual Studio, Git, and GitHub
• Exposure to NLP, Knowledge Graphs, and agentic workflows (reasoning, tool usage, automated task execution, Model Context Protocols)
• Knowledge of additional programming languages such as C++, C#, Go, Rust, or Java is a plus

Qualifications

Must Haves

• A bachelor's degree in Computer Science or a related field, ideally with coursework in Artificial Intelligence and Machine Learning with 2+ years of hands-on experience is a plus
• Demonstrable experience working with Large Language Models in production environments
• Proficiency in scripting languages, especially Python, for rapid prototyping and workflow automation
• Strong analytical and algorithmic problem-solving skills, with a focus on scalable and efficient solutions
• Experience with unit testing, debugging, and code optimization in complex software systems
• Familiarity with development tools such as Microsoft Visual Studio, Git, and GitHub
• Exposure to NLP, Knowledge Graphs, and agentic workflows (reasoning, tool usage, automated task execution, Model Context Protocols)

Nice to Haves

• Knowledge of additional programming languages such as C++, C#, Go, Rust, or Java is a plus

Benefits

• Health, wellness, and financial benefits
• Monetary and non-monetary offerings