Lead Engineer - Gen AI

About HighLevel:
HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.

Our People
With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.

Our Impact
As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.

About the Role:
We are seeking a highly skilled Lead Engineer to drive the design, development, and scaling of our Generative AI products. In this role, you will set technical direction, own critical architectural decisions, and collaborate across teams to deliver AI-driven systems at scale. You’ll balance hands-on coding with guiding best practices, ensuring our AI platforms are performant, reliable, and innovative.

Team-Specific Focus Areas:

Conversation AI:
-Build the AI Agent Builder to allow users to create customized agents for interacting with contacts via chat. Use cases include appointment booking, form filling, sales, and intent recognition
-Scale DIY agent creation: multi-bot setups, prompt copilots, CRM & workflow actions, agent dashboards
-Evolve the Agent Marketplace & Snapshots, enabling distribution at scale
-Develop Conversation Insights for issue categorization and one click agent creation

Voice AI:
-Build the AI Agent Builder to allow users to create customized agents for interacting with contacts via voice. Use cases include appointment booking, form filling, sales, and intent recognition
-Evolve the Agent Marketplace & Snapshots, enabling distribution at scale
-Focus on VOIP technology with an emphasis on low latency and high-quality voice interactions

Agent Studio:
-Provide a builder platform for creating, configuring, and deploying workflow based AI-powered agents
-Support visual and conversational workflows that connect to CRM, triggers, and custom actions
-Maintain agent dashboards (per-agent and global views) for monitoring usage and performance
-Build extensibility via custom actions, plugins, and APIs for external developers

Knowledge Base:
-Scale ingestion pipelines: websites (crawling, auto-refresh), documents (PDF, DOC, HTML, TXT, Markdown), tables (CSV, e-commerce), and web search
-Advance retrieval pipelines: chunking experimentation, reranking, knowledge graph integration, retrieval quality evaluations
-Deliver Knowledge Analytics: gap detection, trends over time, labeling support tickets to dispositions
-Automate content creation and refinement: draft articles from tickets, suggest edits, AI-written FAQs

Ask AI:
-Build a centralized AI platform with a common frontend, consistent UX, and a framework for future agents (Funnels AI, Workflows AI, Email Builder, Planner, etc.)
-Develop Planner & Executor agents to plan multi-step goals and intelligently execute them using workflows and context
-Launch and scale specialized agents for email, social media, ads, messaging, sales, reputation management, and content creation
-Integrate with Agent Studio, Voice, and extend through the MCP server with 200+ tools and connectors
-Ensure usage tracking, feedback, and billing readiness to support scale and monetization

Responsibilities::
• Architecture - Design the architecture and make sure it is cost-efficient and aligned to the overall architectural vision
• Implementation - Implementing major/complex parts of the product
• Ownership - Take ownership of the delivery timeline and coordinate the complete development of products
• Releases - Take ownership of the product releases, pre-plan and scale the infrastructure accordingly
• Leadership - Communicate clear goals, provide constructive feedback, manage, coach, and support the engineering team
• Quality - Maintain high standards of code quality through regular design and code reviews

Requirements::
• Proven expertise in architecting and scaling AI Agent platforms with measurable adoption
• Strong knowledge of RAG pipelines (retrieval optimization, reranking, chunking, knowledge graphs)
• Deep experience with conversational AI systems and evaluation frameworks
• Track record of scaling services to 200K+ MAUs (or equivalent scale)
• 6+ years of engineering experience, with demonstrated leadership in technical decision-making
• Strong communication skills and ability to collaborate across engineering, product, and design
• Bachelor’s degree or equivalent in Computer Science, Engineering, or related field
• Experience in Node.js and modern front-end frameworks (Vue.js/React/Angular) is a plus

EEO Statement:
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record-keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.

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