Senior/Staff Applied AI Engineer — Conversational Agents

Revin; New York (NY); Hybrid; USD 225,000 - 325,000; Full time

Benefits offered by this job

Equity

Health coverage

401(k) match

Unlimited PTO

Commuter benefits

Free meals

Gym stipend

Tech equipment

Job summary

Revin in New York is seeking a Senior/Staff Applied AI Engineer focused on conversational agents. You will improve production voice agents, design experiments, and ship changes to production with measurable impact.

You will own the full improvement cycle—from problem framing to evaluation—working with engineering and data science to push the boundaries of agent capabilities in a fast-growing startup. Four days per week in our Flatiron office with one remote day, and final compensation depending

Qualifications

• Proven track record improving AI agents deployed to external customers.
• Strong experimental and analytical judgment.
• Solid software engineering ability and data literacy (SQL).
• Understanding of agent systems and latency tradeoffs.

Responsibilities

• Find the problems worth solving by analyzing production conversations and prioritizing improvements.
• Build measurement that you can trust with quality dimensions and evaluation datasets.
• Develop and test hypotheses through reproducible experiments and controlled rollouts.
• Improve voice experience by investigating turn-taking, interruptions, latency, and transcription errors.
• Ship improvements into the agent system and monitor production impact, costs, and reliability.
• Make improvement repeatable by turning failures and findings into reusable datasets and checks.

Skills

AI agent systems

Experimental judgment

Software engineering

Conversations data analysis

Ownership & communication

Job description

Revin in New York is seeking a Senior/Staff Applied AI Engineer focused on conversational agents. You will improve production voice agents, design experiments, and ship changes to production with measurable impact.

You will own the full improvement cycle—from problem framing to evaluation—working with engineering and data science to push the boundaries of agent capabilities in a fast-growing startup. Four days per week in our Flatiron office with one remote day, and final compensation depending