Livekit

60 Livekit Jobs Hiring Near You

... LiveKit • High-throughput distributed systems - queue workers, event-driven architectures, handling 1M+ daily transactions • PostgreSQL at scale - query optimization, replication, connection ...

Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and ...

Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and ...

Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and ...

Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and ...

Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and ...

Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and ...

Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and ...

Senior Software Engineer

New York, NY · On-site

$134K - $176K/yr

Voice agent stack (LiveKit, Pipecat, Vapi, Retell, or custom on Twilio/Deepgram/ElevenLabs) + speech fundamentals (ASR, TTS, diarization, VAD) * Production agentic LLM workflows: tool use, multi-step ...

Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and ...

SignalR, WebRTC, C++, Docker, Linux, SQL, Azure, EF Core, Kubernetes, and LiveKit. • Familiarity with Video/Audio live-streaming • Familiarity with Agile methodologies and Azure DevOps CI/CD ...

Voice agent stack (LiveKit, Pipecat, Vapi, Retell, or custom on Twilio/Deepgram/ElevenLabs) + speech fundamentals (ASR, TTS, diarization, VAD) * Production agentic LLM workflows: tool use, multi-step ...

Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and ...

Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and ...

Senior Software Engineer

New York, NY · On-site

$170K - $220K/yr

Voice agent stack (LiveKit, Pipecat, Vapi, Retell, or custom on Twilio/Deepgram/ElevenLabs) + speech fundamentals (ASR, TTS, diarization, VAD) * Production agentic LLM workflows: tool use, multi-step ...

Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and ...

Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and ...

Showing results 41-60

Livekit Jobs Information

Infographic showing various job openings at Livekit in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 17% Physical, and 83% Remote job distribution.

Full-time

Posted 29 days ago


Job description

Job Title: Senior Backend Engineer
Location: United States (Remote)
Type: Full-Time | Direct Hire
About the Company
We are transforming the future of customer engagement with cutting-edge voice AI solutions. Our intelligent voice platform enables businesses to automate and scale lifelike, real-time conversations tailored to a variety of use cases. Trusted by millions and backed by top-tier investors, we're rapidly expanding and on a mission to power billions of voice interactions across the globe.
Role Overview
We're seeking a Senior Backend Engineer to help build and scale the backend infrastructure that powers our AI-driven voice technology. You'll be designing performant APIs, architecting microservices, and collaborating across teams to integrate with machine learning and voice systems.
If you're passionate about solving complex technical challenges, scaling real-time systems, and building products that impact millions - we want to hear from you.
Key Responsibilities
  • Design, develop, and maintain scalable, low-latency backend systems for AI-powered voice applications.
  • Build robust REST/gRPC APIs and microservices using modern backend frameworks.
  • Collaborate with cross-functional teams to integrate ML, speech, and telephony technologies.
  • Ensure high system reliability through automated testing, monitoring, and CI/CD pipelines.
  • Contribute to infrastructure planning, deployment, and optimization across cloud platforms.
  • Participate in code reviews, system design discussions, and architecture decisions.
Required Qualifications
  • Strong proficiency in Python and experience with backend frameworks such as FastAPI, Flask, or Django.
  • Solid understanding of microservices architecture and distributed backend systems.
  • Knowledge of system design, event-driven/asynchronous architectures, and queuing systems (e.g., Kafka, RabbitMQ).
  • Hands-on experience with cloud infrastructure (AWS, GCP, or Azure).
  • Experience with CI/CD tools, monitoring systems, and infrastructure-as-code (e.g., Terraform, Pulumi).
  • Excellent communication skills and ability to work in a collaborative, fast-paced, product-focused environment.
Preferred (Nice-to-Have)
  • Familiarity with voice or LLM-powered systems (e.g., STT, TTS, WebRTC, Twilio, LiveKit).
  • Experience in ML pipeline orchestration or inference workflows.
  • Proficiency in containerization, Kubernetes, and modern DevOps practices.
  • Previous collaboration with ML engineers on deployment, monitoring, or observability.
Why Join Us?
  • Build mission-critical products that impact millions of users worldwide.
  • Work with cutting-edge voice AI and real-time automation technologies.
  • Be part of a high-growth, venture-backed company shaping the future of communication.
  • Fully remote role with flexibility and a supportive, collaborative team culture..
Additional Details
  • Must be based in the United States and authorized to work without sponsorship (Permanent Residents only).
  • Must be able to align with Mountain Standard Time (MST) working hours.