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 hands-on Senior Software Engineer to lead and scale the infrastructure powering our AI-driven products.

Our systems already support thousands of candidate interactions each month—now we’re building for millions. You’ll evolve the architecture to meet new demands, guide technical direction, and mentor engineers while delivering high-impact solutions.

This role is ideal for someone who thrives in both high-scale environments and fast-moving startups, playing a key leadership role from design through production with significant ownership over technical execution and direction.

In Terms of Experience

Required:

• 10+ years software engineering experience (with high exposure to full stack)
• Bachelor’s in Computer Science or Computer Engineering
• Has held titles such as Senior SWE, Staff/Principal Engineer, Software Engineering Lead, or Technical Lead
• 2+ years at Big Tech OR late stage startup (Series D+ company)
• 2+ years at a fast-paced and high-growth early-stage startup (Series A or lower)
• Demonstrated hands-on technical leadership—ownership of a domain, architecture decisions, delegation/mentoring
• Experience building, operating, and scaling high-throughput, high-availability distributed systems, including observability/monitoring and reliability for mission-critical systems
• Capable of contributing across the stack—backend, infrastructure, and web/frontend—jumping in where needed to deliver end-to-end solutions.
• Comfortable navigating and working within infrastructure environments, including Kubernetes (EKS), ECS, EC2, and Docker—able to deploy, troubleshoot, and optimize services in production.
• Skilled with JavaScript, Node.js, Python, React, AWS, EKS, ECS, Kubernetes, Docker, MySQL/Postgres

Preferred:

• Built, deployed and scaled end-to-end AI applications (LLMs, speech/voice, recommendation engines, etc.) in consumer-facing products
• Experience with LLMs, Voice, Streaming, Low Latency, or Machine Learning Pipelines

What You’ll Do

• Evolve and scale the backend architecture powering our AI-driven products
• Lead technical execution: set architectural direction, mentor engineers, delegate effectively, and remain hands-on
• Build and deliver end-to-end AI applications in close collaboration with product and founding teams
• Ensure the reliability, scalability, and observability of production systems
• Strengthen and evolve our engineering standards and technical culture as a key early leader on the team