The role involves designing, developing, and implementing VoIP infrastructure and telephony platforms to support AI-driven voice workloads. The engineer will collaborate with cross-functional teams to ensure voice and AI platforms perform efficiently and scale reliably. Responsibilities include contributing to SRE practices by translating operational use cases into software tooling requirements. The position requires building high-quality, scalable, and reusable code while enforcing software engineering best practices. Additionally, the role entails owning the full lifecycle of code from design and implementation to test automation and delivery. The engineer will also mentor colleagues to promote knowledge sharing across telecom and AI engineering disciplines.

Candidates must possess at least four years of development experience using Python, GoLang, or Java. A minimum of four years of experience operating highly available distributed workloads on Kubernetes using a DevOps approach is required. Applicants need hands-on experience with VoIP systems, SIP/RTP protocols, and PSTN infrastructure. Furthermore, the role requires practical knowledge of Kamailio, RTPEngine, FreeSWITCH, and SBCs, alongside experience integrating applications with LLMs and performing prompt engineering.