About the Role
Are you a skilled backend engineer with a passion for building scalable systems? Do you thrive in a collaborative environment and have a knack for creating reliable and high-performance applications? If you are looking to join a fast-scaling team and work on cutting-edge AI solutions that impact millions of users globally, this is the opportunity for you. Join us and contribute to transforming customer interactions through advanced voice automation.
- Develop and maintain scalable, low-latency backend systems for AI/voice applications.
- Design and implement REST/gRPC APIs and microservices architectures.
- Collaborate with cross-functional teams to integrate ML and voice technologies.
- Ensure system reliability through testing, monitoring, and CI/CD best practices.
- Contribute to infrastructure design and optimization across cloud environments.
What We Are Looking For In A Candidate
- Strong proficiency in Python and backend frameworks (FastAPI, Flask, Django).
- Experience designing and operating distributed backend systems.
- Knowledge of system design principles, asynchronous/event-driven architectures, and queuing systems.
- Hands-on experience with cloud infrastructure (AWS, GCP, or Azure).
- Familiarity with CI/CD pipelines, monitoring tools, and infrastructure-as-code practices.
- Excellent communication skills and ability to work in a collaborative, product-focused environment.
- Must be a Permanent Resident
- Exposure to voice or LLM-enabled systems (STT, TTS, WebRTC, Twilio, LiveKit).
- Familiarity with ML pipeline orchestration and inference workflows.
- Experience with containerization, Kubernetes, and infrastructure tools (Terraform, Pulumi).
- Collaboration experience with ML engineers for deployment and observability.
Benefits & Pay
Compensation for this role is up to $220,000 USD annually. We offer a competitive benefits package, including health care, paid time off, and opportunities for professional development.
Job Type: Full-time
Pay: $130,000.00 - $210,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Paid time off
- Professional development assistance
- Retirement plan
- Vision insurance
Application Question(s):
- Due to the fast-moving nature of this role, only responsive candidates will be considered.
- What is your experience with Python and backend frameworks?
- What exposure have you had with voice or LLM-enabled systems like STYT TTS, WebRTC, Twilio, LiveKit?
- Briefly describe your experience with containerization, Kubernetes, and infrastructure tools like Terraform, Pulumi.
Work Location: Remot