Full Stack Engineer - Voice AI

Experience : 2 – 4 years

Must-have : Hands-on with voice agent

Compensation : Industry-standard

Role type : Full time

About the Role

We are building the next generation of AI-powered voice experiences and are looking for a Full Stack Engineer who lives and breathes real-time, conversational AI. This is not a generic backend role, we need someone who has actually shipped voice agents in production: wrestled with latency, tuned prompts under load, and debugged the weird edge cases that only appear when a real user is talking to your system.

You will own the server-side infrastructure that makes our voicebots fast, reliable, and smart , from LLM orchestration and real-time audio pipelines to deployment, scaling, and everything in between.

What You'll Do

• Design, build, and iterate on voice AI agents that handle real-time, low-latency conversations at scale.
• Integrate and orchestrate LLMs (OpenAI,Gemini, Anthropic, open-source) as the reasoning backbone of our voice systems.
• Work with real-time audio and communication frameworks — LiveKit, WebRTC, or equivalent — to manage media streams reliably.
• Write, refine, and version-control prompts; apply prompt engineering techniques (chain-of-thought, few-shot, structured output) to improve agent behaviour.
• Build robust backend services in Python that serve as the glue between telephony/audio infra, LLM APIs, and business logic.
• Set up and maintain cloud infrastructure (AWS/GCP/Azure), CI/CD pipelines, and observability tooling — comfortable with Docker, Kubernetes, or similar.
• Instrument systems for latency, uptime, and conversation quality; define and hit SLAs for real-time workloads.
• Collaborate closely with product and ML teammates to translate requirements into production-grade voice features.

What We're Looking For
Non-Negotiable

• 2 – 4 years of backend engineering experience, with meaningful time spent building voice AI or voicebot systems.
• Demonstrable work on voice agents, could be LiveKit-based pipelines, Twilio integrations, VAPI, Retell AI, or a custom WebRTC stack.
• Solid understanding of real-time audio streaming, concurrency challenges, and latency constraints unique to voice interfaces.

Strong Plus

• Experience with LLM frameworks, LangChain, LlamaIndex, or custom orchestration — and multi-step agent architectures.
• Hands-on prompt engineering: system prompt design, function/tool calling, context management, and output validation.
• Familiarity with AI agent frameworks such as LiveKit Agents SDK, Pipecat, Vocode, or similar.
• Backend proficiency in Python and/or Node.js with production-grade API design (REST, WebSocket, gRPC).
• DevOps literacy: Docker, CI/CD, cloud deployments, monitoring (Datadog, Grafana, or similar).
• Experience designing systems that scale horizontally under bursty, real-time traffic.

Nice to Have

• Knowledge of ASR (Whisper, Deepgram, AssemblyAI) and TTS (ElevenLabs, Cartesia, Azure TTS) integration patterns.
• Experience with telephony APIs (Twilio, Plivo, Vonage) or SIP/PSTN infrastructure.
• Contributions to open-source AI tooling or published demos/side projects involving voice AI.

Tech Stack We Work With

LiveKit Python, OpenAI / Anthropic APIs, LangChain, WebRTC, Docker,Kubernetes, AWS / GCP PostgreSQL, Redis, Deepgram, Whisper, ElevenLabs / TTS

Why Join Us

• Work on genuinely hard, flexible work environment, cutting-edge problems at the intersection of real-time systems and AI.
• Small, high-ownership team, your work ships to users, not to a backlog.
• Competitive, market-benchmarked compensation with equity upside.
• Flexible working environment; async-first culture with strong documentation habits.
• Learning budget, conference access, and an opinionated internal knowledge base to help you grow fast.

Apply here only!