Lead Engineer - AI Studio

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

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

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

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

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

6+ years of backend engineering experience, including distributed system design and high-scale platform development

Strong proficiency in Go (Golang) for building high-performance, concurrent backend services, alongside Node/NestJS experience

Hands-on experience building and operating edge/serverless services with Cloudflare Workers and Cloudflare KV (or comparable edge compute and distributed key-value stores)

Deep expertise in event-driven architectures, asynchronous workflows, and high-throughput data pipelines.

Strong command of relational (PostgreSQL) and NoSQL data models, query optimization, and complex transactional data

Fluency in LLM integrations, vector search, embeddings, RAG patterns, and generative AI frameworks

Familiarity with frontend architecture using Vue, and a solid understanding of UI/UX principles

Experience with monitoring, alerting, and incident response for production systems

Strong instincts for scaling, latency optimization, and reliability under real-world load

Experience implementing structured generation, verification layers, retrieval-based grounding, and guardrails to reduce hallucinations

Understanding of prompt engineering patterns, context injection, and model evaluation

Exceptional communication and cross-functional leadership capabilities

Pragmatic decision-making with a balance of long-term vision and iterative execution