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Cloaked is building AI-powered privacy and security tools for consumers. The company has protected 10M+ identities, screened 50M+ calls, and removed 1B+ records from data brokers. Backed by a $375M Series B, Cloaked is now scaling its AI agent capabilities.
You will join the Call Guard team, which builds real-time voice AI that intercepts unknown callers, holds a conversation with them, and only rings the user through if the call is legitimate. Spam, scams, and voice-cloned callers are stopped before reaching the user.
In this role, you will:
- Design and ship production voice agents that classify caller intent and autonomously block scams
- Own key components of Call Guard's real-time voice AI stack and contribute to its technical direction
- Drive down end-to-end conversational latency across speech-to-text, agent reasoning, and text-to-speech
- Build defenses against adversarial AI callers, including voice-cloning attacks
- Evaluate and integrate frontier models (LLMs, speech models, agent frameworks) for production use
- Build and maintain telephony, VoIP routing, and cloud infrastructure for the voice agent
- Partner with product, design, and mobile teams to ship voice experiences
- Raise team quality through code reviews, design discussions, and knowledge sharing
- Use AI tools daily to accelerate development
The NYC team operates on a hybrid model with two floors of office space, kitchens, and regular team outings. Flexible remote work is available as needed.
REQUIREMENTS:
- 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
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
