Take2 AI
This range is provided by Take2 AI. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.
Base pay range
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 theyre 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!
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 already powers thousands of candidate conversations every monthnow were scaling to millions. Youll 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)
Bachelors 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
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 Youll Do
Own and scale the end-to-end voice agent pipeline that already powers thousands of monthly conversationshelp 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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
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