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Lead Engineer - AI Studio

GoHighLevel· Engineering – LeadGen
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Hybrid (India)EE Full-TimePosted 3mo ago

About the role

Lead Software Engineer for the AI Studio Team responsible for building an AI-based React application builder that generates production-ready websites and React applications from natural language, with deployment to custom domains and live publishing. Focus on architecture, distributed systems, AI-driven generation, and high-performance user experiences at scale.

Responsibilities

  • Drive technical direction for AI-driven application-builder architecture and lead complex system design decisions
  • Hands-on technical leader and mentor for engineers building AI Studio’s app generation engine, React website/app builder, design/component systems, domain publishing pipeline, and AI Agents
  • Spend majority of time designing systems and writing production code
  • Partner with product, infra, and design to shape roadmap, raise engineering standards, and deliver scalable, high-performance user experiences
  • Own architecture and scaling decisions for core AI Studio platform components (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 Go, NestJS, Node, PostgreSQL, Firestore, Vector Databases, Cloudflare Workers, Cloudflare KV, and microservices
  • Design distributed systems for high-throughput generative and analytical workloads with correctness and low latency
  • Build and optimize embeddings pipelines, retrieval-augmented generation (RAG), and multi-agent orchestration frameworks
  • Drive observability improvements 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 for 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 on data governance, access control, privacy boundaries, and compliance
  • Leverage LLMs and AI tools to write, test, and debug code while upholding reliability standards
  • Mentor engineers through code reviews and design discussions; promote technical excellence (IC role with no direct reports)
  • Partner with PMs and designers to define long-term roadmap and deliver high-performing AI-powered features
  • Participate in reviews, deep dives, and on-call rotations to ensure accountability and operational excellence

Qualifications

  • 6+ years of backend engineering experience including distributed system design and high-scale platform development
  • Strong proficiency in Go (Golang) with Node/NestJS experience
  • Hands-on experience building and operating edge/serverless services with Cloudflare Workers and Cloudflare KV
  • Deep expertise in event-driven architectures, asynchronous workflows, and high-throughput data pipelines
  • Relational (PostgreSQL) and NoSQL data modeling, 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 solid UI/UX understanding
  • Experience with monitoring, alerting, and incident response for production systems
  • Experience implementing structured generation, verification layers, retrieval-based grounding, and guardrails
  • Understanding of prompt engineering patterns, context injection, and model evaluation
  • Exceptional communication and cross-functional leadership capabilities
  • Pragmatic decision-making with long-term vision and iterative execution

Skills

Required:Go (Golang)Node / NestJSCloudflare Workers / Cloudflare KVPostgreSQLNoSQL data modelsLLM integrations / Embeddings / Vector searchRAG (Retrieval-Augmented Generation)
Nice to have:Vue

Benefits

  • Remote-friendly work arrangement
  • Global remote-first culture
  • Opportunity to work on AI-driven, scalable platform used by SMBs worldwide
Last updated Oct 21, 2026. Interested? Apply on the company site.

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