Senior Software Engineer, Voice AI

About the Role

We're looking for a Senior Software Engineer to join the Call Guard team and help build the next generation of our real-time voice AI. You'll own major parts of the stack, from voice agent design and conversational latency to adversarial robustness and the infrastructure underneath. As Cloaked grows, you'll have room to contribute to how we build AI-native consumer products across engineering.

Call Guard is Cloaked's AI call screening product. It intercepts unknown callers, holds a real-time AI conversation with them, and only rings the user through if the call is legit. Spam, scams, and voice-cloned callers get stopped before they reach your phone. We've screened 50M+ calls to date.

What will you do?

Design and ship production voice agents that talk with unknown callers, classify intent, and block scams autonomously
Own key components of Call Guard's real-time voice AI stack and contribute to its architecture and technical direction
Drive down end-to-end conversational latency across STT, agent reasoning, and TTS
Build defenses against adversarial AI callers, including voice-cloning attacks targeting our users
Evaluate and integrate frontier models (LLMs, speech models, agent frameworks) for production use
Build and maintain telephony, VoIP routing, and the cloud infrastructure the voice agent runs on
Partner with product, design, and mobile to ship voice experiences that feel effortless
Raise the team's bar on quality through code reviews, design discussions, and knowledge sharing
Use AI tools daily to move faster

What skills and experiences will help you?

5+ years building production software, ideally real-time or distributed systems
Hands-on experience shipping voice or conversational AI products in production
Fluency with modern voice AI stacks: STT (Whisper, Deepgram), TTS (ElevenLabs, Cartesia), and real-time orchestration (LiveKit, Pipecat, or similar)
Production experience with LLMs and agent frameworks (LangChain, LangGraph, LlamaIndex, or equivalents)
Experience optimizing for low latency in real-time systems
Strong Python and/or Go, with experience building scalable, secure backend systems and APIs
Solid cloud infrastructure experience (AWS or GCP, containerized deployments)
Experience shipping consumer products at scale
Daily use of AI coding tools (Cursor, Claude, Codex) with good judgment on when and how to use them

What's nice to have?

Telephony, VoIP, SIP, or carrier-level call routing experience
WebRTC or real-time media infrastructure experience
Background in speech recognition, signal processing, or audio engineering
Familiarity with adversarial ML, AI safety, or anti-fraud systems
Experience handling PII and sensitive data
Prior work on consumer privacy or security products