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Member of Technical Staff @ Vela

Vela· Engineering
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Hybrid (San Francisco, CA)$120k - $300kFull-timePosted 3mo ago

About the role

AI Recruiting Coordinator for Executive Search at Vela. Full-time role in San Francisco, focusing on building and deploying AI-powered recruiting/agent systems.

Responsibilities

  • Solve problems that don't have a known solution yet.
  • Build agents that make thousands of context-dependent decisions daily.
  • Ship things that real paying customers use the next day.
  • Talk to customers, understand their needs, and build.
  • Own entire systems end-to-end: from the research that informs an approach, to the architecture, to the code, to watching it work in production.
  • Work at the frontier of what agents can actually do reliably, not what demos look like on Twitter.

Qualifications

  • Ultra intellectually curious (competitive or research background preferred).
  • Have crazy amounts of agency (passion projects, proactive problem-solving).
  • Love working with friends (strong opinions, humorous).
  • Build agents and are an AI power user (but able to think independently).
  • Fast learner.
  • Curious about Machine Learning and Reinforcement Learning.
  • Agent evaluator.
  • Test driven developer.

Skills

Required:MLMachine LearningNatural Language ProcessingAI Agents
Nice to have:EvalsAI SafetyLangChain
Last updated Oct 25, 2026. Interested? Apply on the company site.
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About Vela

AI Agents For Complex Scheduling Coordination

We are building Vela, the AI scheduling assistant for the most complex interactions. Everyone assumes scheduling is a calendaring problem. It's not. It's a human nuance problem: knowing who to prioritize, how hard to push, and which dynamics to navigate. Vela understands these nuances, and every interaction deepens that understanding. Instead of manually calling, texting, and emailing hundreds of candidates across spreadsheets, today teams connect their system of record to Vela and it handles outreach, scheduling, and confirmation automatically with the nuances of industries and teams built in. Gobhanu and Saatvik are brothers who scaled a microfinance bank to 77 countries as kids. We previously built at AWS ML + SuperCompute and BCG AI.

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