Senior Software Engineer, Applied AI

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 [... source excerpt omitted ...] ormance 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 dire