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Founding Engineering Lead

Overview
Cleragetclera.comPosted 8 days ago
New York City, NY, US$200k to $400k per yearदूरस्थ
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वरिष्ठतेची पातळी
Senior
नोकरीचा प्रकार
पूर्णवेळ
कामाचा अनुभव
5 to 8 years
विशेषीकरण
Engineering management
व्हिसा प्रायोजकत्व
या भूमिकेसाठी प्रायोजकत्व दिले जात नाही

भूमिकेबद्दल

Lead hands-on engineering for an applied AI and enterprise software team, shaping the technical architecture and product direction alongside the CTO and founders. You will guide a small engineering pod while personally building critical systems and helping turn machine learning into production products.

Responsibilities

  • Build and lead a pod of three to four engineers, supporting their growth, performance, and hiring while remaining hands-on with key projects.
  • Own platform architecture and make build-versus-buy and infrastructure decisions.
  • Establish engineering standards for AI-assisted development, including code review, completion criteria, release cadence, and on-call practices.
  • Lead technical design and initial implementation of new initiatives.
  • Evaluate applied ML research and determine what is ready for production systems.
  • Partner with the CTO on product roadmap, model strategy, and the engineering approach.

Key skills

  • Machine Learning
  • LLM

Benefits & perks

Base salary: $200,000 to $400,000 annually. Visa sponsorship is not available.

  • Remote friendly

What We're Looking For

  • Typically 5 to 8 years of engineering experience, with exceptional candidates considered from 4 to 5 years.
  • Experience shipping applied machine learning products, including training and deploying models in production, not only integrating LLM APIs.
  • Experience owning technical architecture end-to-end, including infrastructure and build-versus-buy decisions.
  • Track record as a technical lead, pod lead, or manager who has set engineering standards and held engineers accountable.
  • Recent hands-on software delivery, strong applied ML judgment, and practical experience using AI agents in development.
  • Experience at an AI-native company and in attracting technical talent; a stable employment history is expected.
  • Comfort with ambiguity, inherited code, and hands-on work.

Location

On-site in New York City, United States.