> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Forward Deployed Engineer

Canonical URL: https://nextmove.md/fde/jobs/e0949ce27e16bca8

Take2 AI posts a FDE role to build what the customer runs in New York, NY, at $150,000–$200,000 base, below the senior FDE median of $190,000 across 1,864 postings with pay. Take2 AI is hiring a Forward Deployed Engineer to design, launch, and improve AI Interviewers for healthcare recruiting customers. Read from the employer’s posting on November 8, 2026.

- [Take2 AI](https://nextmove.md/fde/companies/take2-ai)

Posted Aug 7, 2026 by Take2 AI · open on Ashby as of Nov 8, 2026

**$150,000–$200,000** + equity New York, NY Hybrid, Mon–Thu in office Full-time

Take2 AI is hiring a Forward Deployed Engineer to design, launch, and improve AI Interviewers for healthcare recruiting customers.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fe0949ce27e16bca8&placement=top)
- [View posting at Take2 AI](https://jobs.ashbyhq.com/take2/64c5c8d7-480f-4d2b-8e8e-6a8d5ea29bb3/application)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$150K–$200K Below the median

Midpoint $175K · median $190K

This job $150K to $200K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **2+ years** engineering role
- **4+ years** engineering role *Preferred*
- **1+ years** working with LLMs, NLP systems, or AI agents in production
- **2+ years** working with LLMs, NLP systems, or AI agents in production *Preferred*
- **2+ years** Forward Deployed Engineer at a B2B AI technology company *Preferred*

Background

- **Software engineering**
- **Forward deployed engineering**

### Do you meet what the posting states?

The posting asks for 1+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in New York, NY. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: New York, NY

- **Work arrangement**: Hybrid, Mon–Thu in office

- **Remote work restrictions**: NYC-based; in office Monday through Thursday

- **Employment type**: Full-time

- **Pay**:

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## The job description from Take2 AI

Posted by Take2 AI on Aug 7, 2026

### 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.

[View posting at Take2 AI](https://jobs.ashbyhq.com/take2/64c5c8d7-480f-4d2b-8e8e-6a8d5ea29bb3/application)

## About Take2 AI

Take2 provides autonomous AI agents for healthcare recruiting teams, handling sourcing, screening, verification, scheduling, and onboarding through ATS integrations.

Series A · 50–100 people

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