🛠 Tech Stack

💼 About This Role

You'll own the inference stack for Voice AI models, joining a small founding team focused on bringing state-of-the-art open source models to production. Your work will power mission-critical Voice AI deployments across productivity, customer service, and more, making a meaningful impact on people's daily lives. You'll drive high-ownership initiatives from roadmap through engineering implementation.

🎯 What You'll Do

• Own voice AI product areas end-to-end from architecture to production operations.
• Design and operate real-time, large-scale model serving systems for STT/TTS/voice agents.
• Drive cross-team collaboration on full-stack technical problems and delivery coordination.
• Mentor teammates through code reviews, design docs, and technical leadership.

📋 Requirements

• Bachelor's degree or higher in Computer Science or related field.
• Proven track record owning production-grade real-time large-scale systems where tail latency (p99) matters.
• Proficient coding in Python or similar languages.
• Comfortable using AI coding assistants (e.g., Claude Code, Cursor) as daily productivity multiplier.

✨ Nice to Have

• Experience implementing pipeline-level model runtime optimizations (dynamic batching, async scheduling).
• Experience building developer platforms (SDKs, CLIs, APIs) for ML or infrastructure products.
• Familiarity with speech/audio ML models (STT, TTS) and model-serving runtimes (vLLM, TensorRT).

🎁 Benefits & Perks

• 🏖️ Flexible PTO including company-wide Winter Break
• 🩺 100% medical/dental/vision coverage for employee and dependents
• 👶 Paid parental leave and fertility/family-building stipend
• 🏦 401(k) company-facilitated
• 📈 Competitive compensation including meaningful equity

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min
4. 4Hiring Manager Interview· 45 min