Staff Backend Software Engineer - Core Product, Poe (Remote)
QuoraFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $125,000 - $225,000 annually, plus a competitive equity package.
This information is not specified in the job description.
Candidates need 5+ years of experience with high-performance backend systems, strong experience in Go, Python, TypeScript/Node, Java or similar, and enthusiasm for the AI and LLM ecosystem. Previous work building and operating complex SaaS platforms is also required.
You will join the Backend Engineering team, which builds highly scalable distributed services powering Arize’s ML observability platform using primarily Go, along with Python, Java, and TypeScript. The team expects high contributions from individuals tackling challenges like optimizing metrics across billions of data points and designing OLAP database architectures.
A strong candidate has 5+ years in high-performance backend systems, proficiency in Go, Python, TypeScript/Node, or Java, experience with complex SaaS platforms, and a passion for AI and LLMs.
AI observability and model evaluation platform
Arize AI provides a platform focused on AI observability and evaluating language models. The platform allows companies to monitor, troubleshoot, and assess the performance of various machine learning models, including those used for natural language processing, computer vision, and recommendations. Users can access analytics and workflows that help identify and resolve issues within their AI systems, ensuring optimal performance. Key features include task-based evaluations for aspects like hallucination and relevance, as well as tools for visualizing query and knowledge base embeddings to enhance retrieval accuracy. Unlike many competitors, Arize AI specifically targets the needs of top AI companies, offering tailored solutions for continuous improvement of their models. The goal of Arize AI is to empower these companies to enhance their AI capabilities through effective monitoring and evaluation.