Take2 AI automates phone screens with AI agents to reduce overhead costs, boost speed-to-hire, and prevent mis-hires, while providing a better candidate experience.
Requirements
- Direct, hands-on experience integrating and optimizing STT, TTS, VAD, and LLMs for real-time voice agents
- Scaled and optimized voice pipelines for low latency, high availability, and real-time performance
- Designed and implemented agent orchestration, evaluation frameworks, and related tooling
- Shipped production AI applications with real-time inference, integrating ML models into live systems
- Built and operated distributed backend systems with monitoring and observability in place
- Strong proficiency in Python, JavaScript, Node.js, AWS, Kubernetes, Docker
- Experience self-hosting AI/ML models for use in voice AI pipelines, including tuning and optimizing them for performance and reliability
Responsibilities
- Own and scale the end-to-end voice agent pipeline that already powers thousands of monthly conversations—help us grow it to millions
- Select, integrate, and tune models for optimal latency, quality, and reliability
- Build orchestration logic, evaluation systems, and supporting backend services
- Ensure low latency, high availability, and scalability of voice agent infrastructure
- Collaborate closely with product and engineering to rapidly prototype and deliver features, playing a key role in driving the vision and evolution of our platform and product with significant ownership over technical execution and direction.
Other
- 6+ years software engineering experience (backend or full stack)
- 2+ years at an early to mid-stage startup (Series B or lower)
- Bachelor’s in Computer Science or Computer Engineering
