# Senior Software Engineer, Applied AI at Take2

> Hybrid · United States · Senior · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Atake2%3Ab49b48d8-f894-4eae-8496-55bae47ba138 (read 2026-11-15).

## Facts (observed)

- Company: [Take2](https://alderhq.app/companies/take2)
- Location text: New York
- Where it can be done from (inferred): Hybrid · United States (evidence: "Location: New York")
- Posted: 2026-08-25 (81 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-12
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/take2/b49b48d8-f894-4eae-8496-55bae47ba138
- Skills listed (inferred): JavaScript, Node.js, Python, AWS, Kubernetes, Docker, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: $180k–$225k per year (from the listing's pay field)
- Market band for similar posted roles (New York, n 359): p25 $170k, median $191k, p75 $220k

## Description (the employer's text)

### 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Atake2%3Ab49b48d8-f894-4eae-8496-55bae47ba138 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.