Backend Engineer, Agents
LapelCustomer Operations company
San Francisco, United StatesSenior
Y Combinator
Soma Capital
Batch Ventures (California)
Coughdrop Capital
Sierra Ventures
Software Engineering
About the role
TL;DR
Build infrastructure for AI agents to enhance customer interactions.
- •You'll own the systems that power long-horizon agents at Lapel: how they remember, retrieve context, reason over customer history, use tools, take actions, and improve over time.
- •Key Responsibilities Design systems that help agents remember, summarize, and retrieve context across long-running customer interactions Build workflows and tools that reduce failure modes and make agents easier to trust in production Set up the observability and eval infrastructure we use to monitor agent behavior, debug issues, and raise quality over time Help to scale multi-tenant systems that keep customer and agent context isolated, reliable, and ready for enterprise use Requirements Have 5+ years of backend or software engineering experience, with a track record of building reliable systems in production Have owned large-scale, enterprise products end-to-end Are excited to build the systems that make AI agents more useful, dependable, and easier to improve Are comfortable designing APIs, working with databases, and building workflows that run reliably over time Understand system design, debugging, observability, and production reliability at a practical level Are customer-focused and able to translate product needs into reliable agent infrastructure Enjoy working in fast-paced environments with high ownership and autonomy Are proactive, detail-oriented, and take pride in building high-quality systems
Required skills
TypeScriptNode.jsPostgreSQL
Benefits & perks
Competitive salary, Equity, Full benefits: medical, dental, vision, 401(k), commuter benefits, Generous time off: many company holidays and coordinated team-wide breaks throughout the year, Office perks: lunch and dinner provided daily, in-office snacks, and health & wellness benefits, Team culture: regular off-sites, tight feedback loops, and a bias toward action
Tech stack
TypeScriptReactViteTailwindNode.jsPostgreSQL