---
title: 'Forward Deployed Engineer at Take2'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-take2-new-york-r9bf2f1mdpfj'
type: 'job'
last_seen: '2026-09-10'
---

# Forward Deployed Engineer at Take2

- **Company:** Take2
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-07
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/take2/64c5c8d7-480f-4d2b-8e8e-6a8d5ea29bb3

## 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 several of the largest health systems in the USA. It's an exciting time to join - we're growing incredibly fast, with much of that growth coming from customers seeing the value of our product and expanding usage. Come build with us!

## About the Role

Take2 AI is hiring a Forward Deployed Engineer to design, launch, and continuously improve our AI Interviewers for customers. Our AI agents already conduct tens of thousands of structured candidate interviews each month.

This role sits at the intersection of voice/conversational agents, prompt + flow design, evaluation/scoring rubrics, and production iteration. You’ll work directly with customers to understand screening requirements, translate them into structured interviewer behavior, deploy agents into production, and improve performance based on real-world feedback and metrics. You'll also be at the heart of our product motion - we build our roadmap based on our customers and our FDEs sit squarely at the center of that loop.

This is a hands-on, highly analytical role for someone who enjoys turning ambiguous requirements into precise agent behavior, building rigorous evaluation approaches, and shipping improvements quickly in a startup environment.

## What You’ll Do

Customer Onboarding & Requirements (Customer-Facing)

- Lead technical onboarding with customers to understand roles, hiring goals, must-have signals, and constraints.
- Translate customer needs into structured interview flows, role-specific question banks, and scoring rubrics.
- Set clear expectations on what “good” looks like (pass/fail thresholds, evaluation rationale, interviewer tone and style).

Voice Agent Conversation Design (Prompts + Flows)

- Design, build, and refine prompts and agent logic that drive interviewer behavior, question sequencing, probing, and candidate experience.
- Ensure interviewer conversations are consistent, role-relevant, and robust to edge cases (evasive candidates, unclear answers, noisy audio, interruptions).
- Implement multi-step structured interview flows with state management and guardrails.

Evaluation & Scoring Systems

- Design and maintain AI-based evaluation and scoring aligned to customer rubrics and hiring criteria.
- Improve accuracy, consistency, and explainability of scoring at scale (including calibration across roles/customers).
- Identify bias/fairness risks and contribute to mitigation strategies and compliant evaluation practices.

Deployment, Iteration, and Customer Feedback Loops

- Launch new customer interviewers into production and own iteration cycles from early rollout through steady-state performance.
- Use customer feedback + production metrics to prioritize improvements and deliver measurable outcomes.
- Communicate changes clearly to customers and internal stakeholders.

Quality, Reliability, and Scale

- Build and own lightweight QA/evaluation pipelines to measure conversation quality, scoring accuracy, and reliability before/after changes.
- Monitor production performance and partner with engineering to balance quality, latency, and cost tradeoffs.
- Contribute to standards and best practices for prompt quality, eval quality, and voice-agent reliability.

In Terms of Experience

Required:

- Minimum 2 (preferred 4-6) years of experience working in an engineering role
- 1+ (preferred 2+) years working with LLMs, NLP systems, or AI agents in production.
- Strong full-stack software engineering experience
- Demonstrated experience designing and deploying agent workflows (prompts + structured flows) that operate at scale.
- Strong understanding of prompt engineering, agent control, failure modes, and conversational edge cases.
- Experience building or contributing to evaluation/testing/QA frameworks for AI systems.
- Comfort being customer-facing: running technical discovery, translating requirements, and driving onboarding to production.
- Strong analytical mindset (accuracy, consistency, bias, calibration, and edge cases).

Preferred:

- 2+ years working as a Forward Deployed Engineer at a B2B AI tech company.
- Familiarity with voice/conversational AI systems, especially real-time or high-volume environments.
- Strong Python skills (APIs, data pipelines, eval harnesses, testing frameworks).
- Hands-on experience with multiple LLMs (GPT, Claude, Gemini, LLaMA/Mistral, fine-tuned models).
- Experience designing multi-step agents with state management and structured outputs.
- Experience operating AI systems in production and iterating based on real-world performance metrics.
- Prior startup experience (high ownership, fast iteration, ambiguity).
- Bachelor’s degree in CS/Engineering/Math or related technical field — or equivalent practical experience.

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)

## Other roles at Take2

- [Customer Success Manager](https://feeny.ai/job/customer-success-manager-take2-new-york-gaw232t2szy0) — New York, NY
- [Senior Software Engineer, Applied AI](https://feeny.ai/job/senior-software-engineer-applied-ai-take2-new-york-db04zc2nknfd) — New York, NY
- [Account Executive](https://feeny.ai/job/account-executive-take2-new-york-yvrsanxwrmqf) — New York, NY
- [Software Engineer - Fullstack](https://feeny.ai/job/software-engineer-fullstack-take2-new-york-mmc21ypdzrpz) — New York, NY
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-take2-new-york-1hw4bwvzghs2) — New York, NY
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-monday-com-paris-2y8wvht9z97a) — Paris, France
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-monday-com-london-6fbhd14ej1sg) — London, United Kingdom
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-altara-san-francisco-3wakb3c3jxca) — San Francisco, CA
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-arcade-austin-e48rc1w4eya7) — Austin, TX
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-arcade-san-francisco-wsyd3vxnje2s) — San Francisco, CA