Full-Stack Engineer (Back-End Leaning)

We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and ...

We have expanded from voice into three main platforms:

ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.

We are looking for back-end engineers to expand the functionality of our system. There is flexibility in staffing engineers on projects across the company, depending on the project, your specific responsibilities might include:  
Building and maintaining our platform on top of our cutting-edge voice models, which are used by millions of users.
Improving our existing products to ensure that they’re intuitive, powerful and make innovative use of our research team’s latest break-throughs. This could involve adding significant functionality, or building integrations with other common consumer/enterprise solutions.
Maintaining and strengthening our internal infrastructure as we scale and grow to ensure that our products remain live, performant and secure.
Collaborating closely with engineers and others from the Frontend, Growth and Sales teams to understand, and design solutions for our customers.

We do not require any formal experience, certifications, or degrees. Instead, we are seeking enthusiastic software engineers who can showcase solving impressively hard problems with artifacts such as past projects, or GitHub contributions. We do require:
Expertise in Python.
A strong background in backend development.
Familiarity with common software and system design patterns and infrastructure including APIs, cloud infrastructure tools, storage solutions, data structures etc.
Knowledge about test design and security fundamentals.
Bonus:
Experience with Kubernetes.
Experience with Stripe or other payment processing providers.
Basics about how AI models work.