About The RoleTake2 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 ExperienceRequired:- 6+ 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
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
Location & FlexibilityWe're NYC-based and work hybrid (in-office Mon-Thu). We value in-person collaboration but also trust people to manage their time responsibly.
Compensation & GrowthCompetitive salary + meaningful equity. This is a chance to join at a stage where your work meaningfully shapes the product and your career trajectory.
