About the job
About Telnyx
Telnyx is at the forefront of global connectivity, not just envisioning the future but actively constructing it. Our mission encompasses the architecture and expansion of a private, global, multi-cloud IP network, as well as bringing hyperlocal edge technologies to your fingertips through intuitive APIs, thus pioneering a new era of seamless interconnection among individuals, devices, and applications.
Our drive stems from a commitment to modernize outdated processes, automate manual tasks, and address real-world challenges through innovative connectivity solutions. As a testament to our achievements, we proudly stand as a financially robust and profitable organization. This profitability empowers us to invest in cutting-edge technologies while nurturing an environment of continuous learning and growth for our team members.
We envision a world where borderless connectivity sparks limitless innovation. By joining our team, you will play a vital role in establishing the foundations for this interconnected future. We are currently seeking passionate individuals eager to contribute to an industry-shaping company while advancing their own skills and careers.
About the Role
The AI Integrations team is responsible for developing tools that integrate AI into Telnyx's core offerings—encompassing voice agents, intelligent messaging, and real-time AI functionalities that elevate our customer experience. We are in search of a talented full-stack engineer to accelerate our development efforts.
This role is categorized as mid-level individual contributor. You will take ownership of features from conception to deployment: constructing React interfaces, developing Node.js services, connecting databases, and delivering functional products. While prior AI experience is not a prerequisite, a willingness to learn and a solid foundation in full-stack product development are essential.
What You’ll Work On
• Developing full-stack features across our AI product suite—from frontend to backend and database integration.
• Implementing large language models (LLMs) and AI capabilities into real-world applications.

