Full-Stack Engineer (Backend leaning)

at  Elevenlabs

WHAT YOU BRING

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, designs, or GitHub contributions. We do require:

• Expertise in Python
• Experience with Web Development using Typescript/React
• Familiarity with common software and system design patterns and infrastructure including APIs, cloud infrastructure tools, storage solutions, data structures etc.
• Test design and security awareness preferred

ABOUT THE ROLE

We are looking for Full-Stack engineers to develop and maintain both front-end and back-end components of our product suite.

Your general responsibilities will include:

• Building and maintaining our products and platform on top of our cutting-edge voice models, which will be used by millions of users.
• High degrees of ownership. You will be responsible for shipping end-to-end features across the front and back ends of our stack, as well as helping set the direction of the features and products you’re working on.
• Collaborating closely with others on the Engineering, Growth and Sales teams to understand, and design solutions for, our customer and internal team’s most important problems and workflows.

We believe in pairing engineers with work that matches their strengths and interests. This means that there is significant flexibility in staffing engineers across the company. However, your specific responsibilities might include:

• Scoping and building brand new proof of concept products, sometimes directly with partner customers, that could later be scaled to capture entirely new markets.
• 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 making sweeping UX changes, 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.
• Working to collect, manage, and process massive-scale datasets to lay the groundwork for the next generation of voice models at the forefront of generative AI.