AI Engineer
Role
We're looking for an AI Engineer who can architect and implement the core systems that power continuous AI improvement. You'll work on agentic workflows, evaluation frameworks, and learning systems that help AI models diagnose failures and systematically improve. This role bridges cutting-edge research with production systems.
You might be a fit if...
You have deep experience building LLM-powered systems and agentic workflows at scale.
You're passionate about AI safety, evaluation, and systematic improvement of AI systems.
You can think across the stack—from prompt engineering to infrastructure, and can own problems end-to-end.
You're excited to collaborate with both customers and the research community to push the boundaries of what's possible.
About Nuraline
Nuraline is an applied AI team focused on enabling AI systems to self-improve in production. We're building infrastructure for the next generation of AI products—systems that don't just work, but get better over time.
We're a small, high-signal team based in San Francisco that values deep thinking, creative problem-solving, and shipping code that matters.
Applying
If there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.