Hume AI
Hume AI is a company dedicated to developing empathic voice interfaces that utilize artificial intelligence to understand and replicate human emotions in speech. Their flagship product, EVI 2, is a real-time, customizable voice intelligence platform that allows developers to create synthetic voices and personalities with a range of expressive capabilities. Hume AI focuses on aligning AI models with human well-being, allowing for a deeper emotional intelligence in applications. They provide developer resources, APIs, and a community for collaboration, emphasizing ethical guidelines through The Hume Initiative, a non-profit setting standards for empathic AI.
Senior DevOps Engineer
March 28
🏄 California – Remote
🗽 New York – Remote
💵 $130k - $230k / year
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
🦅 H1B Visa Sponsor
Hume AI
Hume AI is a company dedicated to developing empathic voice interfaces that utilize artificial intelligence to understand and replicate human emotions in speech. Their flagship product, EVI 2, is a real-time, customizable voice intelligence platform that allows developers to create synthetic voices and personalities with a range of expressive capabilities. Hume AI focuses on aligning AI models with human well-being, allowing for a deeper emotional intelligence in applications. They provide developer resources, APIs, and a community for collaboration, emphasizing ethical guidelines through The Hume Initiative, a non-profit setting standards for empathic AI.
📋 Description
• Seeking a talented software engineer with strong experience in backend web services and infrastructure. • Contribute to building AI that understands emotions and promotes human well-being. • Design, develop and maintain AI-powered solutions. • Work closely with research scientists, machine learning engineers, and designers to improve services. • Write clear and concise code to extend functionality on web services.
🎯 Requirements
• 3+ years of experience in developing backend services. • Expertise working with storage and compute on a cloud platform (e.g.Google Cloud, AWS). • Deep understanding of modern deployment strategies utilizing cloud technologies. (e.g. blue/green, canary deployments, etc). • Experience using service deployment tooling (e.g. Kubernetes, Docker, Argo). • Experience in Kotlin/Spring, Typescript/Express, Python/FastAPI, or Rust. • Experience with building and maintaining highly available SaaS products. Ensuring scalability, performance, and observability. • Excellent communication and collaboration skills. • Experience with machine learning concepts. • Experience with relational databases (PostgreSQL, BigQuery, etc).
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