Senior Software Engineer, Applied AI
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Aug 25, 2026. Take2 AI scores B on the Alion truth index.
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.