Staff Machine Learning Engineer – VoIP Infrastructure

This is a fully remote position, open to applicants in Texas.

📋 Description

• Design, develop, and implement VoIP infrastructure, telephony platforms, and observability features that support AI-driven voice workloads.

• Collaborate with engineering, product, and infrastructure teams to enhance performance, scalability, reliability, and integration across SIP/RTP, Kamailio, RTPEngine, and other telecom systems.

• Advance SRE practices by converting operational telephony and AI workload use cases into software tooling requirements.

• Carry out deployment and support activities for VoIP systems and AI/ML developers working in production voice environments.

• Develop clean, scalable, and reusable code while upholding software engineering best practices, including code reviews and unit testing.

• Take ownership of code from design through implementation, test automation, and delivery across telephony infrastructure and LLM integration layers.

• Integrate LLMs into voice platforms and real-time communication systems.

• Mentor team members and foster knowledge-sharing within the telecom and AI engineering fields.

⛳️ Requirements

• Hands-on experience in building VoIP systems utilizing SIP/RTP protocols.

• Practical understanding of Kamailio, RTPEngine, FreeSWITCH, SBCs, and PSTN systems (or similar technologies).

• Working knowledge of PSTN infrastructure and telecom protocols.

• Experience in integrating applications on top of LLMs using existing models.

• Proficiency in prompt engineering and developing LLM-based features.

• Over 4 years of development experience with Python, GoLang, Java, or comparable languages.

• More than 4 years of experience managing highly available distributed workloads on Kubernetes while adhering to a DevOps approach.

• Working expertise in building distributed systems using cloud-native software.

• Familiarity with software-defined networking, infrastructure as code, and configuration management.

• Experience with DevOps tools such as Helm, Ansible, Kubernetes, Prometheus, Splunk, and GitLab CI.

• Knowledge of building software for compliance and security in regulated environments is advantageous.

• Over 4 years of experience in infrastructure and platform operations, deployments, SRE, and DevOps is a plus.

🏝️ Benefits

• Equity (when applicable).

• Variable/incentive compensation.

• Health plans.

• Flexible spending accounts.

• 401(k) Plan with company match.

• Employee Stock Purchase Plan (ESPP).

• Matching donations.

• Flexible time away plan.

• Family leave programs.

• Flexible work persona / remote work options.

• Reasonable accommodation support during the application process.