Description
We are seeking a passionate AI Tools Engineer to join the Site Reliability Engineering (SRE) Data Team. You will build and deploy sophisticated AI-powered tools and products. These tools support the operation and optimization of a critical production global GeForce Now service.
Your responsibilities will include:
- Building and implementing robust AI/ML tools capable of analyzing production data to identify root causes for complex incidents and identify future operational trends.
- Leading the development of brand-new LLM- and Agent-based systems to improve operational efficiency.
- Establishing and maintaining excellent data management practices, including building pipelines to transform and handle large-scale data sources vital for model development.
- Taking charge of and enhancing LLM-based pipelines while integrating a strong grasp of LLM progress into product development.
- Acting as a resident authority on AI Frameworks, recommending the best platforms, toolsets, and architectural approaches to ensure the long-term technical sustainability of the product.
To succeed in this role, you will need:
- A B.S. in Computer Science, Statistics, or Engineering (or equivalent experience), and 5+ years of experience.
- Strong proficiency in Python; familiarity with Go or other systems languages is a plus.
- Practical experience building, optimizing, and deploying AI tools.
- Strong knowledge of the AI space and current developments, including understanding how LLM-based platforms are built, optimized, and which platforms work best.
- Hands-on experience with container orchestration (Kubernetes) and cloud environments (AWS cloud).
- Active engagement with developments in the AI field and the ability to distinguish meaningful advances from noise when making technical decisions.
- Expertise in automation and handling large-scale data pipelines.
- Experience applying monitoring and visualization tools, such as Grafana, to interact with data.
- Excellent ability to handle data sources and pipelines to transform and manage data.
In addition to your technical skills, you will also need to be able to:
- Understand SRE principles and experience managing production environments.
- Have a strong grasp of recent developments in LLM training.
- Reason and recommend an approach that sustains the team and product long term.
- Prevent grave mistakes by avoiding the wrong platform choice.
- Understand SRE concepts and managing production environments as well as experience with Kubernetes, AWS, and other cloud technologies.
- Be proficient in automation.