Senior Software Engineer, Voice AI
Cloaked
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.
About the Role 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. What will you do?- 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
- 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
- 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
- Passion for security, privacy, and internet ethics
- Curiosity and constant learning at the frontier of voice AI and applied ML
- Strong analytical thinking with proactive problem-solving abilities
- Ownership mentality - comfortable holding the pen on technical direction
- Effective team player in high-velocity environments
- Comfortable mentoring and knowledge sharing across teams
- Experience in startups or growth-stage companies
- Interest in data tracking, analytics, and product instrumentation
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