Senior Software Engineer, Voice AI

Cloaked•New York, NY

1d•$180,000 - $275,000•Hybrid

About The Position

Cloaked is a privacy startup dedicated to rebuilding consumer trust in how personal data is used. Our vision is to create an internet that serves the needs of its users, first and foremost - with individual privacy and opt-in at the core. Our product is a virtual “cloak” that you use as you visit any website - Facebook, Amazon, etc. It lets you choose to share all, some, or none of your private information based on your personal preference. We’re looking for a Senior Software Engineer to lead the development and strategic direction of Call Guard, our AI call screening product. Call Guard intercepts unknown callers, runs a real-time AI conversation, and only rings users through if the call is legit - protecting them from the spam, scam, and AI voice-cloning wave. 50M+ calls screened to date. You’ll own the technical roadmap end-to-end: real-time voice agent design, conversational latency, adversarial robustness against AI-generated callers, and the cloud infrastructure underneath. Long-term, this role grows beyond Call Guard. You’ll contribute across Cloaked’s engineering org and help shape how we build AI-native consumer products at scale.

Requirements

Strong software engineering fundamentals - production systems, distributed systems, real-time infrastructure
Hands-on experience building voice or conversational AI products in production
Proficiency with modern voice AI stacks: STT (Whisper, Deepgram, etc.), TTS (ElevenLabs, Cartesia, etc.), real-time orchestration (LiveKit, Pipecat, or similar)
Deep familiarity with LLMs and agent frameworks (LangChain, LlamaIndex, LangGraph, or equivalents) in production environments
Experience optimizing for sub-second end-to-end latency in real-time systems
Proficiency in Python and/or Go, with a track record of building scalable backend systems
Experience designing and deploying secure, production-grade APIs
Strong understanding of cloud infrastructure (AWS, GCP) and containerized deployments
Track record shipping consumer products at scale
Active daily use of AI coding tools (Cursor, Claude, Codex) with strong prompt judgment and tool selection instincts

Nice To Haves

Experience with telephony, VoIP, SIP, or carrier-level call routing
Background in speech recognition, signal processing, or audio engineering
Familiarity with adversarial ML, AI safety, or anti-fraud system design
PII handling and sensitive data awareness
Prior exposure to consumer privacy or security-focused products
Experience with WebRTC or real-time media infrastructure

Responsibilities

Lead the technical roadmap and architecture for Call Guard’s real-time voice AI stack
Design and build production voice agents that converse with unknown callers, classify intent, and block scams autonomously
Optimize real-time conversational latency end-to-end - from STT, through agent reasoning, to TTS
Build defenses against adversarial AI callers, including voice-cloned attacks targeting our users
Integrate and evaluate frontier models (LLMs, speech models, agent frameworks) for production use
Own VoIP routing, telephony integration, and the cloud infrastructure that the voice agent runs on
Collaborate with design, mobile, and product teams to ship voice experiences that feel effortless to end users
Serve as the voice AI domain expert on the team, raising the engineering bar through code reviews, architecture discussions, and mentorship
Help the team ship features faster and with fewer bugs by setting the technical standard for the product
Actively leverage AI tools in day-to-day engineering work
Contribute across engineering teams beyond Call Guard as the business scales