Core Services Engineer

Hume AI builds artificial intelligence optimized for human well-being, focusing on emotion understanding and empathy in AI systems.
$130,000 - $230,000
Backend
Mid-Level Software Engineer
Remote
3+ years of experience
AI

Description For Core Services Engineer

Hume AI, a Series B funded company, is seeking a Core Services Engineer to advance their mission of building empathy and goal-alignment into AI. The role involves working with research scientists, machine learning engineers, and designers to improve services that deliver expression measurement, expression generation, and empathic foundation models. The company specializes in understanding subtle tones of voice, word emphasis, facial expression, and listener reactions through their innovative RLHE (reinforcement learning from human expression) approach. They recently launched EVI 2, a foundational audio-language model for empathic AI assistants. The position offers competitive compensation ($130,000-$230,000) and the flexibility to work from NYC, San Jose, or remotely. The ideal candidate will have strong experience in backend web services and infrastructure, with expertise in cloud platforms, modern deployment strategies, and service deployment tooling. This is an opportunity to contribute to groundbreaking AI technology while ensuring it remains guided by human values, working with a team that publishes in leading scientific journals and maintains strong ethical guidelines through their non-profit initiative.

Last updated 6 hours ago

Responsibilities For Core Services Engineer

  • Write clear and concise code to extend functionality on web services
  • Collaborate and grow alongside the engineering team
  • Leverage and read APIs to create new integrations
  • Create tests, metrics and infrastructure to help improve service reliability
  • Design new systems to bring improvements and new facets to APIs

Requirements For Core Services Engineer

Kubernetes
PostgreSQL
Python
TypeScript
Java
Rust
  • 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
  • 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
  • Excellent communication and collaboration skills

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