Summary:
As a GenAI engineer at Lam Research, you will develop AI-driven enterprise applications, including chatbots on company data. Collaborating with a dedicated team of data scientists and software engineers, you will deliver innovative solutions that drive significant business value and enhance user experiences.
What You’ll Do
- Design and develop GenAI-based applications powered by RAG, text-to-SQL, functioncalling, and agentic architectures.
- Conduct experiments and analysis to evaluate and optimize the performance and business value impact of ML and GenAI-based applications.
- Interact with business stakeholders to gather feedback and tailor solutions to business needs.
What We’re Looking For:
- 5+ years of experience in software engineering, machine learning, data science, or artificial intelligence.
- Strong proficiency in Python.
- Experience using common NLP and/or ML Python frameworks, such as PyTorch, TensorFlow, Transformers/Hugging Face, and NumPy.
- LLM skills including fine-tuning, LLMOps, function-calling, and retrieval augmented generation (RAG).
- Experience following software best practices in team settings, including version control (Git), CI/CD, documentation, & unit testing.
- Exposure to Microsoft Azure or similar cloud computing ecosystem.
- Strong communication skills, and ability to collaborate with cross-functional teams.
- Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
Preferred Qualifications
- Experience developing GenAI applications leveraging multi-agent frameworks and/or graphbased GenAI approaches (e.g., GraphRAG).
