About Take2 AI

Take2 builds AI Interviewers that automate the entire screening process — reviewing resumes, conducting structured phone screens, and scheduling next steps.

Today, our customers are leading healthcare organizations. Every month, we help hospitals and health systems hire faster, reduce recruiting overhead, and fill critical clinical roles more quickly.

When healthcare organizations hire faster, patient care improves. Staffing gaps shrink. Burnout decreases. The ripple effects are real.

We already power thousands of candidate conversations each month. Now we’re scaling to millions — at a time when healthcare workforce infrastructure needs transformation.

About The Role

Take2 AI is hiring a Senior Software Engineer with deep Voice AI expertise and strong backend engineering skills.

Our real-time voice agent pipeline (VAD + STT → LLM → TTS) already powers thousands of candidate conversations every month—now we’re scaling to millions. You’ll tackle challenges in low latency, high reliability, and large-scale architecture, shaping how our platform evolves as we grow.

This role is hands-on, highly technical, and perfect for someone who thrives in a startup environment, playing a key role from design through production with significant ownership over technical execution and direction.

In Terms of Experience

Required:

• 6+ years software engineering experience (backend or full stack)

• Bachelor’s in Computer Science or Computer Engineering

• 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

• 2+ years at an early to mid-stage startup (Series B or lower)
  

Preferred:

• Experience self-hosting AI/ML models for use in voice AI pipelines, including tuning and optimizing them for performance and reliability

• Experience owning and operating distributed systems in high-throughput, streaming, low-latency environments, ensuring scalability, reliability, and performance under real-time constraints
  

What You’ll Do

• 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

Location & Flexibility

We’re NYC-based and work hybrid (in-office Mon-Thu). We value in-person collaboration but also trust people to manage their time responsibly.

Compensation & Growth

Competitive salary + meaningful equity. This is a chance to join at a stage where your work meaningfully shapes the product and your career trajectory.