AI Delivery Harness Engineer

AI Fabrik; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

AI Fabrik is hiring to own our engineering harness—the tooling and AI workflows that run across the full delivery pipeline. You will identify where teams lose time, build AI-assisted harnesses, and measure success by faster shipping with fewer handoffs.

The role focuses on agent environments, release workflows, and performance-driven improvements to the end-to-end software delivery cycle. This onsite opportunity is based in Redwood City, CA.

Qualifications

• 3+ years of professional software engineering experience in tooling, platform engineering, or DevOps.
• Proven ability to measure and improve cycle time and deployment frequency.
• Proficiency in Python or Go and experience with at least one major LLM API (OpenAI, Anthropic, or Google).
• Strong understanding of production reliability patterns and CI/CD practices.

Responsibilities

• Identify bottlenecks across the full software delivery lifecycle and build AI-assisted harnesses that remove them, measuring impact in cycle time, lead time, defect rate, and deployment frequency.
• Build harnesses that accelerate from idea to implementation, including AI-assisted requirement elaboration and automated design review.
• Design and maintain agent environments for code generation, automated refactoring, test authoring, and documentation; define constraints and tool permissions.
• Build agent-assisted release workflows, automated pre-deployment checklists, rollback triggers, and progressive rollout controls.
• Define good output at each stage through evaluation datasets and CI/CD–integrated quality gates.
• Instrument harness components with logging and metrics to identify underperformance and future productivity gains.
• Implement boundaries and guardrails for safe agent operation without sacrificing speed.
• Apply token budgeting, caching strategies, and model tiering to control AI costs.

Skills

Developer tooling

Platform engineering

DevOps

Python/Go

LLM API integration

CI/CD pipelines

Observability

Documentation

Job description

AI Fabrik is hiring to own our engineering harness—the tooling and AI workflows that run across the full delivery pipeline. You will identify where teams lose time, build AI-assisted harnesses, and measure success by faster shipping with fewer handoffs.

The role focuses on agent environments, release workflows, and performance-driven improvements to the end-to-end software delivery cycle. This onsite opportunity is based in Redwood City, CA.