Senior AI Engineer

Amplitude Amplitude · Data AI · New York, NY · Eng Management

Senior AI Engineer to advance Amplitude's AI products and foundations. The role involves identifying AI leverage points, building systems, establishing patterns for others, and contributing to customer-facing AI products, platform infrastructure, and internal tooling. Requires strong technical skills, product sense, and experience shipping production LLM or applied AI systems.

What you'd actually do

  1. Ship high-impact AI features and products that change how customers and internal teams work, from agentic workflows to embedded intelligence across the Amplitude platform
  2. Design and build the foundational infrastructure behind Amplitude's AI systems: orchestration, evaluation, retrieval, context management, and integrations with the broader product ecosystem
  3. Identify high-leverage opportunities by deeply understanding user workflows, customer pain points, and emerging capabilities in the AI ecosystem
  4. Establish reusable patterns, primitives, and components that enable other engineers to build AI features confidently and consistently
  5. Drive adoption and quality through close collaboration with product, design, and customer-facing teams, with a relentless focus on real usage and measurable outcomes

Skills

Required

  • 3+ years of software engineering experience
  • 2+ years building production LLM or applied AI systems
  • Experience designing and scaling AI products, platforms, or developer tools with real users and real reliability constraints
  • Deep familiarity with the modern AI ecosystem: model APIs, agent frameworks, evals, retrieval, prompting, tool use, and the tradeoffs between them
  • Strong product sense and systems thinking
  • Excellent communicator and collaborator

Nice to have

  • Highest-leverage problem identification
  • Systems thinking
  • Hands-on design and implementation of agentic systems
  • Build vs. buy judgment
  • Driving adoption & evangelism
  • Product thinking

What the JD emphasized

  • shipping AI capabilities that customers and internal teams actually rely on
  • Experience designing and scaling AI products, platforms, or developer tools with real users and real reliability constraints
  • Deep familiarity with the modern AI ecosystem: model APIs, agent frameworks, evals, retrieval, prompting, tool use, and the tradeoffs between them
  • Hands-on design and implementation of agentic systems: You design and ship robust agentic workflows with strong context handling, orchestration, tool use, and evaluation

Other signals

  • AI Agents embedded across platform
  • shipping AI capabilities that customers and internal teams actually rely on
  • customer-facing AI products
  • platform infrastructure beneath them
  • internal tooling that helps Amplitude operate as an AI-native company