Staff AI/ML Engineer: LLMs & Agent Systems (Cloud)

Google LLC; Zürich; Presencial; CHF 180.000 - 280.000; Tempo integral

Resumo da vaga

Google LLC in Zürich, Switzerland, is seeking a software engineer specializing in AI systems and large language models to advance agent-based solutions for Google Cloud. You will work on production-ready, high-performance AI components, collaborating across ML research, product, and engineering teams.

The role emphasizes end-to-end system design, evaluation, and metrics to measure business impact, with a focus on retrieval, context, and function calling in real-world applications.

Qualificações

• Bachelor's degree or equivalent practical experience.
• 8 years of experience working with Large Language Models (LLMs) and building agents.
• Strong Python and ML background.
• Solid understanding of tokens, context, Retrieval-Augmented Generation (RAG), and function calling.

Responsabilidades

• Execute quality iterations on reference agents identifying potential model or agent framework improvements.
• Source or facilitate creation of datasets for evaluation and training to improve model performance for Cloud customers.
• Design new agentic systems and context engineering algorithms, utilizing existing models and identifying the need for new training/evaluation objectives where necessary.
• Define and implement metrics that correspond to business problems.
• Prototype and iterate on the solution working closely with customers, product management and business development.

Conhecimentos

Python

LLM experience

Agent/AI systems

Formação

Bachelor's degree

Descrição da vaga

Google LLC in Zürich, Switzerland, is seeking a software engineer specializing in AI systems and large language models to advance agent-based solutions for Google Cloud. You will work on production-ready, high-performance AI components, collaborating across ML research, product, and engineering teams.

The role emphasizes end-to-end system design, evaluation, and metrics to measure business impact, with a focus on retrieval, context, and function calling in real-world applications.