Take2 builds AI Interviewers that automate the entire screening process — reviewing resumes, conducting structured phone screens, and scheduling next steps.
Today, our customers are leading healthcare organizations. Every month, we help hospitals and health systems hire faster, reduce recruiting overhead, and fill critical clinical roles more quickly.
When healthcare organizations hire faster, patient care improves. Staffing gaps shrink. Burnout decreases. The ripple effects are real.
We already power thousands of candidate conversations each month. Now we’re scaling to millions — at a time when healthcare workforce infrastructure needs transformation.
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.
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 a 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
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
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
We’re NYC-based and work hybrid (in-office Mon-Thu). We value in-person collaboration but also trust people to manage their time responsibly.
Competitive salary + meaningful equity. This is a chance to join at a stage where your work meaningfully shapes the product and your career trajectory.
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