Senior Software Engineer, Applied AI

The role

You will design, build, and scale AI systems for an autonomous healthcare recruiting platform. You will own applied AI work from prototyping and model selection through production reliability.

What you will do

• Design and build applied AI-powered features and agentic workflows
• Select, integrate, evaluate, and tune models for voice AI pipelines
• Build evaluation, guardrail, and observability systems
• Own backend services and data/inference pipelines
• Collaborate with product and founding engineering to prototype and deliver

Required qualifications

• 6+ years software engineering experience (backend or full stack) with significant ML and Applied AI experience
• Bachelor’s in Computer Science or Computer Engineering
• 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)

Nice to have

• 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
• 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

About the company

Take2 is an AI agents platform purpose-built for healthcare recruiting. The agent network automates the end-to-end recruiting process for enterprise healthcare customers.