Senior Software Engineer, Voice AI

Take2

New York (NY)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

A leading AI technology firm in New York is seeking a Senior Software Engineer to scale their voice agent pipeline. This hands-on role requires expertise in backend engineering, with a focus on integrating AI models for real-time performance. The ideal candidate will have at least 6 years of software engineering experience and a strong proficiency in Python, JavaScript, and AWS. This is a unique opportunity to play a key role in the development of cutting-edge voice technology.

Qualifications

  • 6+ years software engineering experience (backend or full stack).
  • Direct, hands-on experience integrating and optimizing STT, TTS, VAD, and LLMs for real-time voice agents.
  • 2+ years at an early to mid-stage startup (Series B or lower).

Responsibilities

  • Own and scale the end-to-end voice agent pipeline that powers thousands of monthly conversations.
  • Select, integrate, and tune models for optimal latency, quality, and reliability.
  • Collaborate closely with product and engineering to rapidly prototype and deliver features.

Skills

Python
JavaScript
Node.js
AWS
Kubernetes
Docker
Voice AI expertise
Backend or full stack engineering

Education

Bachelor’s in Computer Science or Computer Engineering

Job description

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.

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
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