Staff Machine Learning Engineer – VoIP Infrastructure

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

📋 Description

• Design, develop, and implement VoIP infrastructure, telephony platforms, and observability features tailored for AI-driven voice applications.

• Collaborate with engineering, product, and infrastructure teams to optimize, scale, and integrate voice and AI platforms effectively.

• Transform operational telephony and AI workload use cases into software tooling requirements aimed at continuous SRE enhancement.

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

• Create clean, scalable, and reusable code by adhering to software engineering best practices, conducting code reviews, and performing unit testing.

• Partner with product owners to gather requirements and take ownership of code throughout the design, implementation, test automation, and delivery phases.

• Integrate large language models (LLMs) into voice platforms and real-time communication systems.

• Mentor peers and encourage knowledge-sharing across telecom and AI engineering domains.

⛳️ Requirements

• Practical experience in developing VoIP systems utilizing SIP/RTP protocols.

• Familiarity with Kamailio, RTPEngine, FreeSWITCH, SBCs, and PSTN systems or equivalent technologies.

• Understanding of PSTN infrastructure and telecom protocols.

• Experience in integrating applications utilizing LLMs with existing models.

• Proficiency in prompt engineering and developing features based on LLMs.

• A minimum of 4 years of development experience with Python, GoLang, Java, or related programming languages.

• At least 4 years of experience managing highly available distributed workloads on Kubernetes using a DevOps methodology.

• Hands-on experience in building distributed systems with cloud-native software.

• Knowledge of software-defined networking, infrastructure as code, and configuration management practices.

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

• Experience in developing software that complies with security and regulatory standards is a plus.

• A minimum of 4 years of experience in infrastructure and platform operations, deployments, SRE, and DevOps is beneficial.

🏝️ Benefits

• Flexible work arrangements and eligibility for remote work.

• Opportunities for mentorship and knowledge sharing.

• An accessible and inclusive application experience.

• Support for reasonable accommodations during the application process.