Staff Applied AI Engineer

Everyone's building with AI. Most are shipping unused feature add-ons, slapped onto their products with pretty animations.

We're not doing that. We're building an intelligent platform that handles orchestration, evals, monitoring, and internal + customer-facing agents. We want systems that scale, tools that abstract away AI weirdness, and a dev experience that's delightful.

You'll be part of a small, scrappy, high-context team working across the entire LLM stack — from prompt design to infra to monitoring to customer-facing UX. We move fast, own our work, and prioritize quality + learning over throwing models at the wall.

This role offers an opportunity to shape the future of Amplitude's AI initiatives, working directly with co-founders and having significant impact. You'll be building core infrastructure and tools that will power the next generation of AI-native analytics products.

Key aspects of the role:

• Leading backend systems development for agent orchestration
• Building foundational AI platform components including monitoring, evaluation systems, and guardrails
• Creating developer tools and abstractions that improve team velocity and reliability
• Implementing best practices for LLM operations at scale
• Working closely with product teams to deliver seamless AI experiences

The position offers competitive compensation ($244K - $368K) and the chance to work at a successful public company ($300M+ ARR) while maintaining the agility of a startup team. You'll be part of a strategic initiative that could become larger than Amplitude's core business.

The ideal candidate combines strong backend/platform engineering experience with either hands-on AI/LLM system building experience or a strong desire to learn. You should be comfortable with ambiguity, care about code quality and testing, and want to own problems end-to-end rather than just implementing tickets.