Forward Deployed Engineer
AI summary of the role
Take2 AI is hiring a Forward Deployed Engineer to design, launch, and improve AI Interviewers for healthcare recruiting customers.
What you’ll do
- Lead technical onboarding with customers to translate screening requirements into structured interview flows, question banks, and scoring rubrics.
- Design, build, and refine prompts and agent logic for voice interviewers, handling edge cases like evasive candidates and noisy audio.
- Develop and maintain AI-based evaluation and scoring systems aligned to customer rubrics, improving accuracy, consistency, and explainability.
- Launch new customer interviewers into production and own iteration cycles using customer feedback and production metrics.
What you’ll bring
- Minimum 2 years (preferred 4-6) in an engineering role.
- 1+ years (preferred 2+) 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) at scale.
Technologies
LLMs · NLP · AI agents · prompt engineering · voice/conversational AI · Python · GPT · Claude · Gemini · LLaMA/Mistral · evaluation frameworks · state management
Source and classification
Production engineering · Evidence for this classification:
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
More from the 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 agen [... source excerpt omitted ...] ation 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. E [... source excerpt omitted ...] 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 improve
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