Senior Software Engineer, Voice AI

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 What skills and experiences will help you? 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 What's nice to have? 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 What do we like? 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

Benefits

Additional Information

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.

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