Forward Deployed Engineer

About Take2 AI

Take2 AI automates phone screens with AI agents. Take2's AI Interviewers automate the end-to-end screening process - evaluating resumes, conducting phone screens, and scheduling next round interviews with qualified candidates. Our AI Interviewers help reduce overhead costs while boosting speed-to-hire and preventing mis-hires. For candidates, this guarantees they’re never left without a response and delivers a better experience, uncovering skills that go beyond the resume.

We are a team of Stanford GSB alums, backed by Semper Virens & Reach Capital. Our advisory board consists of ex CHROs of F500 companies such as Visa, HP, Disney & Google.

Want a sneak peek of what we are building? Check out this video!

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.

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.

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.

• 2+ years working with LLMs, NLP systems, or AI agents in production.
• Demonstrated experience designing and deploying agent workflows (prompts + structured flows) that operate at scale.
• Strong understanding of prompt engineering, agent control, failure modes,…