Senior AI Engineer

Навыки

• Обучаемость
• LLM
• Маркетинговая стратегия
• Ответственность за результат
• REST API
• Роадмап

О компании и продукте

• 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.
• 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.
• At Amplitude, our values guide how we show up for one another and for our customers:
• Humility: We operate from a place of empathy and openness, seeking to understand many points of view.

Задачи

• 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
• Design and build the foundational infrastructure behind Amplitude's AI systems: orchestration, evaluation, retrieval, context management, and integrations with the broader product ecosystem
• Identify high-leverage opportunities by deeply understanding user workflows, customer pain points, and emerging capabilities in the AI ecosystem
• Establish reusable patterns, primitives, and components that enable other engineers to build AI features confidently and consistently
• Drive adoption and quality through close collaboration with product, design, and customer-facing teams, with a relentless focus on real usage and measurable outcomes
• Set technical direction for AI systems at Amplitude, making thoughtful build vs. buy calls, shaping evaluation strategy, and influencing the long-term roadmap

Требования

• 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
• Experience & Skills
• 3+ years of software engineering experience, with 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
• you know when to prototype, when to harden, and when to invest in durable infrastructure
• Excellent communicator and collaborator, able to drive alignment across engineering, design, product, and go-to-market
• How You Think & Work
• Leverage mindset: You see AI as a way to reshape how teams and customers think, plan, and execute, not just a feature to bolt on
• Context is key: You understand that AI is most powerful when grounded in real data, workflows, and decisions
• Vision leads utility: You listen closely to users and customers, but you also anticipate their needs and lead with creative, forward-looking solutions
• Build to learn: You favor fast iteration, usage-based validation, and continuous improvement over upfront perfection
• What Sets You Apart
• Highest-leverage problem identification: You consistently spot the highest-value opportunities and use data to focus effort where it matters most
• Systems thinking: You see across disparate tools, data sources, and teams, and connect them into cohesive, contextual AI-powered experiences
• Hands-on design and implementation of agentic systems: You design and ship robust agentic workflows with strong context handling, orchestration, tool use, and evaluation
• Build vs. buy judgment: You know when to adopt existing solutions and when to build from scratch
• Driving adoption & evangelism: You get capabilities into users' hands, onboard them effectively, and evolve based on feedback
• Product thinking: You blend technical execution with product intuition to build AI experiences that people genuinely love to use

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