AI-Native Builder

Responsibilities

• Build the intelligence layer that helps engineering organizations understand how work happens across people, code, systems, and AI.
• Create agents and workflows that use Faros's operational context to assist with engineering planning, delivery, review, quality, reliability, and decision-making.
• Design the context systems, memory, tooling, and retrieval capabilities that allow AI to operate accurately within the messy realities of enterprise software development.
• Build evaluation frameworks that measure the effectiveness of humans, AI, and human‑AI systems against real engineering outcomes.
• Develop reusable platform capabilities that make it easier for customers to build, deploy, govern, and improve AI‑powered engineering workflows.
• Rapidly experiment with emerging models, tools, and techniques, turning promising ideas into customer‑facing capabilities.
• Use data and evidence to identify bottlenecks in software delivery and create products that help organizations continuously improve.
• Help define what great engineering looks like in a world where humans and AI build software together.

• Strong software engineering fundamentals
• A history of building products, systems, tools, automation, workflows, or side projects
• Demonstrated ability to learn new technologies quickly and independently
• Experience using AI to accelerate development, research, analysis, or decision‑making
• Strong problem‑solving skills and comfort operating in ambiguous environments
• Ability to rapidly move from idea to implementation
• Evidence of curiosity, initiative, and self‑directed learning
• Excellent written and verbal communication skills
• Strong judgment and an ability to reason through tradeoffs
• A bias toward action and experimentation.