Lead Engineer - AI Agent Voice Experience

Responsibilities

• Design, train, evaluate, and deploy machine learning systems that power real-time voice experiences, including speech to text turn detection, text to speech, speech to speech, reasoning and structured insight generation.
• Improve the quality of voice AI systems through error analysis, data curation, metric design, benchmarking, and iterative model improvement, with a strong focus on real-world performance.
• Build evaluation frameworks for complex voice and agentic systems, measuring metrics such as accuracy, robustness, latency, faithfulness, naturalness, professionalism, task completion, and cost.
• Diagnose and mitigate failure modes across the voice stack, including transcription errors, hallucinations, tool misuse, prompt brittleness, context drift, and multi-step reasoning breakdowns.
• Design, implement, and optimize low-latency ML systems that deliver delightful caller experience (e.g., backchanneling, focusing on foreground speaker, interpreting caller’s emotions, responding with empathy).
• Partner with platform and backend engineers to productionize real-time inference, streaming pipelines, quality monitoring, and continuous model iteration.
• Collaborate cross-functionally with product, design, frontend, and backend teams to integrate voice intelligence seamlessly into Cresta’s platform.
• Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta’s voice AI systems.

Languages