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HighLevel

Lead Engineer – AI

HighLevel

Lead Engineer on Users team at HighLevel managing permissions and user access flows in a global sales platform. Focusing on backend improvements and security-sensitive user experience.

Posted 6/29/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
GoNode.jsNoSQLPostgresVue.js

About the role

Key responsibilities & impact
  • Own day-to-day execution across business-critical and sensitive parts of the platform: permissions, tokens, and user-facing access flows.
  • End-to-end ownership of permissions and access control features including roles, scopes, and user assignments.
  • Execute on token-related workflows including creation, rotation, revocation, and expiry flows.
  • Reduce tech debt in identity and access systems by untangling legacy logic and removing duplicated paths.
  • Deliver security-sensitive user flows, focusing on permission visibility and debugging experiences.
  • Improve developer ergonomics by providing cleaner APIs, better abstractions, and safer defaults.
  • Partner with Staff Engineers to operationalize architecture and turn RFCs into shippable code.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • EEO Statement: The company is an Equal Opportunity Employer.
  • Voluntary demographic information collection for compliance with government regulations.
  • Remote work opportunities with a global team.
  • A culture that promotes creativity, collaboration, and impact.

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Hard Skills & Tools
Go (Golang)Node/NestJSDistributed System DesignRelational Data ModelsNoSQL Data ModelsEvent-Driven ArchitecturesAsynchronous WorkflowsData Pipeline OptimizationToken Management WorkflowsPrompt Engineering Patterns
Soft Skills
Exceptional CommunicationCross-Functional Leadership