AI-Native Builder

Jobtailor; San Mateo (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking a candidate to build an intelligence layer that reveals how work flows across people, code, systems, and AI. You will design context systems and workflows to assist planning, delivery, and quality in enterprise software.

You will develop reusable platform capabilities and evaluation frameworks, and rapidly experiment with new AI models to turn ideas into customer‑facing capabilities. This role emphasizes data‑driven improvements and practical engineering leadership.

Qualifications

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

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 operational context to assist with planning, delivery, review, quality, reliability, and decision‑making.
• Design the context systems, memory, tooling, and retrieval capabilities for AI in enterprise software development.
• Build evaluation frameworks that measure humans, AI, and human‑AI systems against real engineering outcomes.
• Develop reusable platform capabilities to help customers 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 improve.
• Help define what great engineering looks like when humans and AI build software together.

Skills

Software engineering fundamentals

Building products

Learning quickly

AI-enabled development

Problem solving in ambiguity

Idea to implementation

Job description

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.

Requirements

• 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.