---
title: 'Senior Software Engineer, Applied AI at Take2'
canonical: 'https://feeny.ai/job/senior-software-engineer-applied-ai-take2-new-york-db04zc2nknfd'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Software Engineer, Applied AI at Take2

- **Company:** Take2
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/take2/b49b48d8-f894-4eae-8496-55bae47ba138

## 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.

## About Take2

## Company Overview
- **One-liner**: Take2 is an AI agents platform that automates end-to-end healthcare recruiting, from job posting to job offer.
- **Entity Type**: Private (Series A; $17M total funding)
- **Headquarters**: New York City, United States
- **Founded**: 2021
- **Founders**: Yaniv Shimoni and Kaushik Narasimhan

## Core Business
- **Primary industry**: Healthcare recruiting technology (AI-powered)
- **Target customers**: B2B – enterprise healthcare organizations (large health systems, hospitals, clinics)
- **Mission**: To manage healthcare recruiting with autonomous AI agents, helping organizations reduce costs, hire faster, and improve retention and quality of hire.

## Products & Services
- **AI Interviewer**: Conducts phone interviews with candidates 24/7, evaluates them, records calls, and syncs results directly into the ATS – no human-in-the-loop required. Trained on healthcare-specific hiring data.
- **AI Sourcer**: Generates pipeline for hard-to-fill roles by re-engaging past applicants and tapping into external databases.
- **Scoring & Vetting Agent**: Creates role-specific scoring tailored to each company, verifies credentials and certifications in real-time.
- **Screening Agent**: Automates initial screening and candidate engagement.
- **Integrations**: Seamless sync with ATS and HRIS systems (e.g., real-time sync of interview notes, scores, candidate updates).

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total funding of $17M (including a $14M Series A announced February 2026)
- **Notable Investors/Partners**: Human Capital (lead), Bertelsmann Healthcare Investments, Reach Capital, SemperVirens VC, Honeystone Ventures; also backed by Aiinno Capital in earlier rounds. Advisors include HR leaders from top health systems.
- **Growth Signals**: Raised $14M Series A in February 2026; serves leading U.S. health systems; headcount grew 100% YoY to ~16 employees (as of mid-2026); expanding from interviews to a full suite of recruiting agents.

## Competitive Advantages
- **Autonomous AI agents** that require no human-in-the-loop for interviewing and screening, dramatically reducing recruiter manual work.
- **Purpose-built for healthcare**, trained on domain-specific data (clinical and non-clinical roles).
- **SOC 2 Type II & AI compliant** with enterprise-grade security (encryption, audits, 24/7 monitoring).
- **Proven results**: 2x faster time-to-fill, 70% less recruiter time on manual screening, and 4.8/5 average candidate experience rating.
- **Seamless ATS integration** enabling rapid deployment (2–3 weeks).

## Strategic Focus
- Expand beyond the current AI Interviewer into a broader network of agents covering sourcing, credential verification, scheduling, and employee onboarding.
- Continue to automate the full recruiting funnel for healthcare organizations to help them save millions annually while improving quality of hire and retention.

## Why Work Here
- **Early-stage growth**: Company is in a high-growth phase (100% YoY headcount increase) with a lean team of ~16 people, offering significant ownership and impact.
- **Founding team**: Co-founders are Stanford GSB alums with prior exits; advisory board includes HR leaders from top health systems.
- **Compensation**: Roles come with meaningful equity and competitive salary (e.g., Head of Engineering role posted at $150k–$200k + equity).
- **Work model**: Hybrid options available (e.g., the Head of Engineering role is hybrid in NYC); general policy is likely flexible given startup size.
- **Culture**: Mission-driven focus on solving a critical pain point in healthcare; engineering-led product with autonomy and direct impact on product direction.

## Sources
1. [take2.ai](https://www.take2.ai/)
2. [LinkedIn](https://www.linkedin.com/company/jointake2)
3. [Tracxn](https://tracxn.com/d/companies/take2ai/__bbZLUjQDyROWYAhVSV6-DFcRHDxkOkVICXmjWsxwkN0)
4. [PRNewswire (Series A announcement)](https://www.prnewswire.com/news-releases/take2-raises-14m-series-a-to-automate-healthcare-recruiting-with-autonomous-ai-agents-302685108.html)
5. [Take2 Careers (Head of Engineering posting)](https://jobs.take2.ai/founding-engineering-lead)

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