Lead Engineer - AI Studio

As a Lead Engineer , you will drive the technical direction for our AI-driven application-builder architecture, lead complex system design decisions, and serve as a hands-on technical leader and mentor for the engineers building AI Studio’s app generation engine, React website/app builder, design and component systems, domain publishing pipeline, and AI Agents. This is a hands-on individual contributor role — you’ll spend the majority of your time designing systems and writing production code — while partnering closely with product, infra, and design to shape the roadmap, raise engineering standards, and deliver intuitive, generative, high-performance user experiences at scale.

Architecture & Platform Ownership

Own architecture and scaling decisions for core AI Studio platform components (e.g., App Generation Engine, React Build & Render Pipeline, Domain & Publishing Pipeline, AI Content Systems)

Lead design and implementation of cross-cutting initiatives to improve system responsiveness, generation accuracy, and platform robustness

Build scalable, fault-tolerant LLM pipelines for content generation, layout creation, experimentation, and AI-driven user guidance

AI & Distributed Systems Engineering

Work hands-on with technologies like Go, NestJS, Node, PostgreSQL, Firestore, Vector Databases, Cloudflare Workers, Cloudflare KV, and microservices

Design distributed systems that handle high-throughput generative and analytical workloads while ensuring correctness and low latency

Build and optimize embeddings pipelines, retrieval-augmented generation (RAG), and multi-agent orchestration frameworks

Quality, Observability & Reliability

Drive improvements in observability using Prometheus/Grafana, OpenTelemetry, and structured logging

Establish and maintain SLOs for generation latency, correctness, model safety, and system uptime

Strengthen resiliency and failover strategies to ensure seamless user experiences during traffic spikes and model load variations

AI Guardrails, Safety & Tooling

Implement hallucination mitigation strategies (code constraints, structured outputs, model verification layers, retrieval guards, test scaffolding)

Collaborate with infra and security to enforce data governance, access control, privacy boundaries, and compliance around user-generated data

Leverage LLMs and AI tools to write, test, and debug code — while driving standards that ensure reliability and consistency across engineering teams

Technical Leadership & Collaboration

Mentor engineers through code reviews, design discussions, and pairing, leading by influence to promote technical excellence, code quality, and a high-ownership culture (this is an individual contributor role with no direct reports)

Partner with PMs, designers, and other engineering leaders to define long-term roadmap and deliver high-performing AI-powered application-building features

Participate in reviews, deep dives, and on-call rotations to maintain a culture of accountability and operational excellence