We are looking for an experienced AI Engineer Voice Agents who has designed built and deployed production-grade AI voice agents not just prototypes You ll join a fast-moving product-led team where ideas go from MVP to production in weeks not quarters This is a hands-on role for someone who enjoys owning the full lifecycle architecture modeling evaluation deployment monitoring and iteration What You ll Do 1 Build Ship Voice Agents Design build and deploy inbound and outbound voice agents for real-world business workflows Own E2E pipeline speech-to-text LLM reasoning prompt strategy dialog state management TTS telephony integration Rapidly iterate MVPs and harden them to production quality with robust SLAs 2 Engineering Architecture Architect scalable agentic systems using modern tooling OpenAI Anthropic DeepSeek Inspector Whisper PlayHT ElevenLabs PolyAI-style dialog Implement retrieval RAG vector stores and memory systems to boost accuracy in complex tasks Integrate voice agents with CRM ticketing telephony and workflow orchestration systems 3 Production Reliability Set up observability monitoring logging red-teaming evals hallucination detection Drive latency reduction call-success metrics correctness of agent actions Run A B tests fine-tuning guardrails fallback flows 4 Collaboration Product Work Work closely with product engineering and domain stakeholders to define agent behavior Translate business processes into voice agent flows that operate with high autonomy Contribute to internal frameworks and reusable components for deploying voice agents faster What You Bring 4-7 years of hands-on AI ML engineering experience At least one real production-deployed AI voice agent inbound or outbound that handled real customer calls Deep expertise in Speech-to-Text Whisper AssemblyAI Deepgram Google STT LLMs OpenAI Anthropic Llama Gemini DeepSeek Text-to-Speech ElevenLabs PlayHT Azure TTS Telephony Twilio SIP WebRTC Asterisk etc RAG embeddings vector databases Python Node JS for AI agent orchestration Experience deploying production microservices Docker Kubernetes CI CD Strong latency optimization debugging skills especially for real-time audio Ability to work in fast environments MVP in weeks robust production in months Nice to Have Experience with vendor ecosystems like ElevenLabs PolyAI Sierra Decagon Replicant Experience building frameworks for agent evaluation and reasoning trace inspection Background in conversation design or dialog management Experience with reinforcement learning for dialog optimization Success Looks Like In the first 2-4 months you will Deliver at least one production-ready voice agent handling real customer traffic Build internal tooling that reduces time to deploy new agents Improve latency call success rate and downstream business outcomes Establish metrics dashboards and evaluation tooling for all voice agents Become the go-to owner for AI voice agent architecture and innovation Why Join Us Work directly with experienced founders and a high-caliber product engineering team Own end-to-end systems with massive autonomy Ship real products that touch thousands of customers Opportunity to shape core AI infrastructure and voice agent strategy Competitive compensation high-growth environment How to Apply Send your GitHub portfolio past projects and a brief note on the voice agents you ve deployed to jobs vikara ai Required Please create your profile on Aithors ai Job Type Full-time Pay 2 200 000 00 - 3 500 000 00 per year Perks Work from home