About Take2 AI

Take2 AI automates phone screens with AI agents.

Take2's AI Interviewers automate the end-to-end screening process - evaluating resumes, conducting phone screens, and scheduling next round interviews with qualified candidates. Our AI Interviewers help reduce overhead costs while boosting speed-to-hire and preventing mis-hires. For candidates, this guarantees they’re never left without a response and delivers a better experience, uncovering skills that go beyond the resume.

We are a team of Stanford GSB alums, backed by SemperVirens & Reach Capital. Our advisory board consists of ex CHROs of F500 companies such as Visa, HP, Disney & Google.

Want a sneak peek of what we are building, check out this video!

https://youtu.be/UorNA5uuQjU

About The Role

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

You’ll design, build, and scale our real-time voice agent pipeline (VAD + STT → LLM → TTS), optimize for low latency and high reliability, and help us push the boundaries of AI-driven conversations.

This role is hands-on, highly technical, and perfect for someone who thrives in startup environments where they can take full ownership from architecture to deployment.

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

• Proven ability to select, evaluate, and optimize model combinations for quality, speed, and reliability

• 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

• Demonstrated ability to build for scalability, reliability, and maintainability under real-time constraints

• Built and operated distributed backend systems with monitoring and observability in place

• Strong proficiency in Python, JavaScript, Node.js, AWS, Kubernetes, Docker
  

Preferred:

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

• Experience with machine learning pipelines

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

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

What You’ll Do

• Own and scale the end-to-end voice agent pipeline powering our AI-driven conversations

• Select, integrate, and tune models for optimal performance and experience

• Build orchestration logic, evaluation systems, and supporting backend services

• Ensure low latency, high reliability, and scalability of voice agent infrastructure

• Work closely with product and engineering to rapidly prototype and deliver features, driving the vision and evolution of our platform and product with high ownership in a fast-paced environment.