Staff Machine Learning Engineer - VoIP Infrastructure

Description

The team builds VoIP infrastructure, telephony platforms and observability features that run AI-driven voice workloads.

This is a Staff role, and the work spans telephony infrastructure and LLM integration layers.

Responsibilities

• Help design, build and roll out VoIP infrastructure, telephony platforms and observability features that support AI-driven voice workloads.
• Work with engineering, Product and infrastructure teams so voice and AI platforms run efficiently, scale reliably and connect cleanly across SIP/RTP, Kamailio, RTPEngine and related telecom systems.
• Improve SRE practice by turning telephony and AI workload needs into requirements for software tooling.
• Help carry out deployment and support work for VoIP systems and for AI/ML developers running voice workloads in production.
• Write clean, scalable, reusable code and enforce good engineering architecture and process, including code reviews and unit testing.
• Take requirements from product owners and own your work from design through implementation, test automation and delivery, across both telephony and LLM integration layers.
• Integrate LLMs into voice platforms and real-time communication systems.
• Mentor colleagues and share knowledge across telecom and AI engineering.

Requirements

• You have hands-on experience building VoIP systems with SIP/RTP.
• You have practical knowledge of Kamailio, RTPEngine, FreeSWITCH, SBCs and PSTN systems, or similar.
• You have working knowledge of PSTN infrastructure and telecom protocols.
• You have built applications on top of existing LLMs, without training models yourself.
• You have experience with prompt engineering and building LLM-based features.
• You have 4+ years of development experience in Python, Go, Java or similar languages.
• You have 4+ years of running highly available distributed workloads on Kubernetes using a DevOps approach.
• You have built distributed systems with cloud-native software.
• Experience with software-defined networking, infrastructure as code and configuration management is required.
• Experience with DevOps tools such as Helm, Ansible, Kubernetes, Prometheus, Splunk or GitLab CI is an asset.
• Experience building software for compliance and security in regulated environments is an asset.
• 4+ years in infrastructure and platform operations, deployments, SRE and DevOps, with a focus on platform health, is an asset.

Conditions

Work persona (flexible, remote, or required in office) is assigned based on the nature of the work and your work location.

The company may use a third-party service to check the distance between your home and the nearest company office when assigning a work persona.