Full Stack Engineer

Global Information Systems - Enterprise Analytics and Engineering - Data science Hub

As a full-stack software engineer for GenAI at Lam Research, you will develop AI-driven enterprise applications, including chatbots on company data. You will play a key role in developing both backend services and frontend user interfaces for LLM-enabled applications. 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.

• Design, develop, and maintain scalable APIs and backend services to support enterprise-level GenAI applications.
• Engage in frontend development tasks, ensuring a seamless user experience across various platforms.
• Apply SDLC best practices, including requirement analysis, coding standards, code reviews, source control management, build processes, testing, and operations.
• Work closely with data scientists, project managers, and other software engineers to translate requirements into high-quality, user-centric software solutions.

• 10+ years of experience in full-stack software engineering with a focus on API development and frontend technologies.
• Typically requires a minimum of 12 years of related experience with a Bachelor s degree; or 8 years and a Master s degree; or a PhD with 5 years experience; or equivalent experience.

• 10+ years of experience in full-stack software engineering with a focus on API development and frontend technologies.
• Proficiency in Python, JavaScript/TypeScript, and modern frontend frameworks like Svelte.
• Expertise developing CI/CD pipelines, automated testing, and deployment strategies.
• Proficiency using 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.

Additional Qualifications

• Experience developing GenAI applications leveraging LLMs, including chatbots using RAG, function-calling, and agentic architectures.
• Experience with GenAI development tools such as OpenAI, LangChain, and GraphRAG.

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Companys intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. On-site Flex you ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. Virtual Flex you ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.