Engineer (Back-End)
ElevenLabs- Full Time
- Junior (1 to 2 years)
Candidates should have a strong background in backend engineering with experience in designing and implementing distributed systems. Proficiency in machine learning concepts, particularly in training and deploying ML models, is essential. Familiarity with computer vision, natural language processing, and generative AI technologies is preferred. Excellent problem-solving skills and the ability to work in a fast-paced startup environment are required.
The Founding Engineer will design, implement, and maintain Seekeasy's core backend infrastructure and large-scale data processing pipelines. They will collaborate with data scientists and ML engineers to train and deploy ML models and APIs. The role involves maintaining and improving developer tooling and ensuring high service availability through logging and monitoring. Additionally, the engineer will lead outage incident responses and mentor junior team members as the engineering team scales.
Automates API and SDK creation for developers
Speakeasy simplifies the creation and integration of Application Programming Interfaces (APIs), which are essential for enabling communication between different software applications. Its platform automates the generation of Software Development Kits (SDKs), which are collections of tools that developers use to build applications for specific platforms. By automating this process, Speakeasy helps developers save time and focus on enhancing their core products. The company operates on a subscription model, offering various pricing tiers to cater to different client needs, from small startups to large enterprises. This approach not only provides a steady revenue stream but also allows for continuous improvement of its services. Speakeasy stands out from competitors by focusing on automation and ease of use, aiming to boost developer productivity and foster innovation across industries.