engineering
Posted May 1Senior AI Software Engineer
at Amplitude
San Francisco, United StatesOn-site
Responsibilities
- Build custom AI-powered applications and multi-agent pipelines that orchestrate data and workflows across people, finance, and enterprise systems—think automated recruiting assistants, performance review agents, and workforce planning triggers
- Own end-to-end development of secure, production-grade internal tools, including architecture, AWS cloud infrastructure, security, deployment, and maintenance
- Design and build API integrations that make data flow reliably and safely between HR platforms, with security-first design for sensitive employee data
- Drive technical evaluation of new AI tools and frameworks, contributing to our two-track roadmap of committed outcome-based projects and short-cycle experiments on emerging capabilities _*]:min-w-0 gap-3">
Requirements
- 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.
- Amplitude's People Systems & AI team is on a mission to rebuild how HR teams interact with technology—moving from manual, system-centric workflows to AI-native, outcome-driven experiences.
- As our Senior AI Software Engineer, you'll be the primary technical builder on the team, owning the design, development, and production lifecycle of custom AI-powered applications that connect and orchestrate data across our people systems. _*]:min-w-0 gap-3">
- As a Senior AI Software Engineer, you will: _*]:min-w-0 gap-3">
- Familiarity with HR or people systems (Workday, Anaplan, ATS like Greenhouse, Ashby or similar)—you don't need to be an admin, but understanding the data model matters •
- Experience with iPaaS or integration platforms like Workato, MuleSoft, or Zapier, and a sense for when to use them vs. writing custom code Hands-on
- experience with low-code/pro-code app builders like Superblocks or Lovable for shipping internal tools quickly •
- Experience with multi-agent orchestration frameworks (LangChain, LangGraph, CrewAI, or similar) and agentic AI patterns like tool use, memory, planning, and chaining
- experience with strong fundamentals across frontend and backend development, including proficiency in Python and/or Node.js Hands-on