Senior Software Engineer, Voice AI

About the role

We’re looking for a Senior Software Engineer to lead the technical roadmap and architecture for Call Guard’s real-time voice AI stack. You’ll also design and build production voice agents, optimize real-time conversational latency, build defenses against adversarial AI callers, integrate and evaluate frontier models, and own VoIP routing, telephony integration, and the cloud 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

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
• Experience with WebRTC or real-time media infrastructure

Skills and experiences

• Experience with telephony, VoIP, SIP, or carrier-level call routing
• 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

Benefits

• Competitive PTO
• Monthly health stipend
• Late Night Meals
• Professional Growth

Pay

$180K - $275K

Schedule

Hybrid model with remote options