# Senior Software Engineer, Applied AI - Company: [Take2]() - Location: New York - Remote: Yes - Team: Engineering - Employment type: Full Time - Salary: $180K – $225K - Posted: August 25, 2026 ## Job description # **About Take2 AI** Take2 is an AI agents platform purpose-built for healthcare recruiting. Take2’s agent network automates the end-to-end recruiting process, from sourcing and screening to credential verification, scheduling, and onboarding. We work with enterprise healthcare customers, including some of the largest health systems in the USA. # **About The Role** Take2 AI is hiring a Senior Software Engineer, Applied AI with deep experience applying agentic AI solutions with multi-agent / RAG in production to design, build, and scale the AI systmes powering Take2's autonomous healthcare recruiting platform. You'll own applied-AI work end-to-end — from prototyping and model selection through production reliability — as we scale from thousands to millions of candidate conversations. This role is high-ownership, 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) with significant ML and Applied AI experience as a part of that * Bachelor’s in Computer Science or Computer Engineering * Have shipped multi-agent AI solutions with real-time inference to live users at scale * 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, Docker * 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 * 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 # **What You’ll Do** * Design and build applied AI-powered features and agentic workflows — tweak systems, use RAG, build intra-agent networks & communication — and ship them to production * Select, integrate, evaluate, and tune models for the right balance of quality, latency, cost, and reliability across voice AI pipelines (STT/TTS/VAD) * Build evaluation, guardrail, and observability systems to ensure AI behavior is measurable and safe at scale * Own the backend services and data/inference pipelines that serve applied-AI features in production * Collaborate closely with product and founding engineering to rapidly prototype and deliver with significant ownership over technical direction # **Location & Flexibility** 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. # **Compensation & Growth** Competitive salary + meaningful equity. This is a chance to join at a stage where your work meaningfully shapes the product and your career trajectory. ## Apply [Apply on Take2]() Canonical job page: