Staff Machine Learning Engineer - VoIP Infrastructure

What you'll do

• Design and develop VoIP infrastructure, telephony platforms, and observability features for voice and AI workloads.
• Improve reliability and scale by collaborating across engineering, product, infrastructure, and SRE teams.
• Own software delivery from design through testing and deployment, and mentor colleagues.

What they ask for

• Hands-on experience building VoIP systems using SIP/RTP protocols.
• Practical knowledge of Kamailio, RTPEngine, FreeSWITCH, SBCs, and PSTN systems (or similar), plus working knowledge of PSTN infrastructure and telecom protocols.
• Experience integrating applications on top of existing LLMs, and in prompt engineering and developing LLM-based features.
• 4+ years of development experience with Python, GoLang, Java or similar languages, and 4+ years operating highly available distributed workloads on Kubernetes using a DevOps approach.

Nice to have

• DevOps tooling such as Helm, Ansible, Kubernetes, Prometheus, Splunk, or GitLab CI.
• Experience building software for compliance and security in regulated environments; 4+ years in infrastructure/platform operations, deployments, SRE, and DevOps is an asset.

Pay

$176,100 - $308,200 USD base salary

Tools

SIP/RTP, Kamailio, RTPEngine, FreeSWITCH, Python, GoLang, Java, Kubernetes

AI focus

Integrate existing LLMs into voice platforms and real-time communication systems, and develop prompt-engineered LLM features for AI-driven voice workloads.