AI Engineer
Content + Source + Freshness • 18 Dec 2025 • 95% confidence
Offer value
A decent opportunity in an early-stage startup with the potential for growth, requiring specific skills in voice AI technologies.
- Opportunity to work with voice AI technologies in recruitment
- Dynamic environment with potential for impact
- Requires significant technical expertise
Pros
- Involvement in innovative AI solutions in recruitment
- Dynamic and hands-on work environment
- Opportunity to influence product direction significantly
Cons
- Requires substantial experience (6+ years in voice AI)
- Startup culture may present challenges with stability
- Workload may vary and lead to long hours
Who it's for
Senior • Remote
Good fit
- Senior engineers experienced in voice AI
- Individuals passionate about shaping tech applications in recruiting
- Candidates seeking dynamic startup roles
Not recommended for
- Entry-level professionals without relevant experience
- Those preferring corporate job structures
- Candidates who are risk-averse
Motivation fit
Key skills
About the job
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 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 fullstack)
- Bachelor’s in Computer Science or Computer EngineeringDirect, 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,
- Docker2+ years at an early to mid-stage startup
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
