Назад
3 часа назад

AI-Native Builder (AI)

200 000 - 250 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US

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TL;DR

AI-Native Builder (AI): Building the intelligence layer and agentic workflows for an engineering operating system with an accent on operational context, evaluation frameworks, and human-AI collaboration. Focus on designing systems that enable AI to operate accurately within complex enterprise environments and creating leverage through automation.

Location: Must be based in or able to work from San Mateo (Hybrid)

Compensation: $200,000 – $250,000

Company

Faros provides an engineering operating system that connects data across developer workflows and AI tools to help organizations measure and improve software delivery outcomes.

What you will do

  • Build the intelligence layer that helps engineering organizations understand how work happens across people, code, and systems.
  • Create agents and workflows that assist with engineering planning, delivery, review, and decision-making.
  • Design context systems, memory, and retrieval capabilities for AI in enterprise software development.
  • Build evaluation frameworks to measure the effectiveness of humans, AI, and human-AI systems.
  • Develop reusable platform capabilities to help customers build and improve AI-powered engineering workflows.
  • Rapidly experiment with emerging models and tools to turn ideas into customer-facing capabilities.

Requirements

  • Strong software engineering fundamentals and a history of building products, systems, or automation.
  • Demonstrated ability to learn new technologies quickly and independently.
  • Experience using AI to accelerate development, research, or decision-making.
  • Strong problem-solving skills and comfort operating in ambiguous environments.
  • Ability to rapidly move from idea to implementation with a bias toward action.
  • Excellent written and verbal communication skills.

Culture & Benefits

  • Focus on outcomes, learning velocity, and leverage rather than traditional metrics.
  • Emphasis on experimentation and evidence-based decision-making.
  • Opportunity to work with sophisticated engineering organizations like Autodesk, Discord, and Coursera.
  • Environment that treats agents as first-class citizens in the development process.
  • Culture that values human judgment over manual execution.

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