Senior AI Engineer

<div class="content-intro"><p>Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at <a href="http://amplitude.com">amplitude.com</a>.</p> <p>As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.</p> <p><strong>Amplitude’s Commitment to Diversity Equity &amp; Inclusion (DEI): </strong>Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.</p></div><h3><strong>About the Role</strong></h3> <p>We're looking for a Senior AI Engineer to help advance Amplitude's AI products and the foundations they're built on. As AI reshapes how customers analyze data, build products, and act on insights, we need engineers who can move fluidly between deep technical work and product judgment, shipping AI capabilities that customers and internal teams actually rely on.</p> <p>This role is both visionary and hands-on. You'll identify where AI creates the most leverage, build the systems that deliver it, and establish the patterns that let the rest of the company build faster on top of your work. You'll contribute to customer-facing AI products, the platform infrastructure beneath them, and the internal tooling that helps Amplitude operate as an AI-native company.</p> <h3><strong>What You'll Do</strong></h3> <ul> <li>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</li> <li>Design and build the foundational infrastructure behind Amplitude's AI systems: orchestration, evaluation, retrieval, context management, and integrations with the broader product ecosystem</li> <li>Identify high-leverage opportunities by deeply understanding user workflows, customer pain points, and emerging capabilities in the AI ecosystem</li> <li>Establish reusable patterns, primitives, and components that enable other engineers to build AI features confidently and consistently</li> <li>Drive adoption and quality through close collaboration with product, design, and customer-facing teams, with a relentless focus on real usage and measurable outcomes</li> <li>Set technical direction for AI systems at Amplitude, making thoughtful build vs. buy calls, shaping evaluation strategy, and influencing the long-term roadmap</li> </ul> <h3><strong>Who You Are</strong></h3> <p>You're a highly capable engineer with a strong track record of shipping AI-powered systems that people actually use. You bring deep technical instincts, strong product sense, and a forward-thinking view of where AI is heading.</p> <h4><strong>Experience &amp; Skills</strong></h4> <ul> <li>3+ years of software engineering experience, with 2+ years building production LLM or applied AI systems</li> <li>Experience designing and scaling AI products, platforms, or developer tools with real users and real reliability constraints</li> <li>Deep familiarity with the modern AI ecosystem: model APIs, agent frameworks, evals, retrieval, prompting, tool use, and the tradeoffs between them</li> <li>Strong product sense and systems thinking; you know when to prototype, when to harden, and when to invest in durable infrastructure</li> <li>Excellent communicator and collaborator, able to drive alignment across engineering, design, product, and go-to-market</li> </ul> <h4><strong>How You Think &amp; Work</strong></h4> <ul> <li><strong>Leverage mindset:</strong> You see AI as a way to reshape how teams and customers think, plan, and execute, not just a feature to bolt on</li> <li><strong>Context is key:</strong> You understand that AI is most powerful when grounded in real data, workflows, and decisions</li> <li><strong>Visi