Senior & Staff AI Engineer — Conversational Agents

Revin; New York (NY); Ibrido; USD 225.000 - 325.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health coverage

Early equity

401(k) matching

Unlimited PTO

Commuter benefits

Free meals in office

Gym stipend

Tech equipment

Descrizione del lavoro

Revin in New York's Flatiron office is hiring Senior and Staff level engineers for the Agents Platform. You will strengthen our conversational AI agents, from hypothesis to production, using real customer conversations to drive improvements in accuracy, latency, and user experience.

You will own the full improvement cycle: identify problems, design experiments, implement changes, and measure impact. Expect cross‑functional collaboration with software engineers and data scientists, plus

Competenze

• A demonstrated track record improving substantial AI agent systems deployed to external customers.
• Strong experimental and analytical judgment.
• Strong software engineering ability.
• Practical understanding of agent systems.

Mansioni

• Find the problems worth solving. Analyze production conversations, listen to calls, inspect traces, and identify failure patterns to prioritize improvements.
• Build measurement you can trust. Define quality dimensions and evaluation datasets; combine human judgment, automated graders, and production metrics.
• Develop and test hypotheses. Design reproducible experiments and controlled rollouts to understand impact.
• Improve the voice experience. Investigate turn-taking, interruptions, latency, transcription errors, and speech quality.
• Ship improvements into the agent system. Implement changes, monitor effects, and manage reliability, cost, and regressions.
• Make improvement repeatable. Turn failures and findings into reusable datasets and checks for the team.

Descrizione del lavoro

Revin in New York's Flatiron office is hiring Senior and Staff level engineers for the Agents Platform. You will strengthen our conversational AI agents, from hypothesis to production, using real customer conversations to drive improvements in accuracy, latency, and user experience.

You will own the full improvement cycle: identify problems, design experiments, implement changes, and measure impact. Expect cross‑functional collaboration with software engineers and data scientists, plus