Staff Engineer - Funnels AI en HighLevel
HighLevel · Indien · Remote
About Us
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’re looking for a Staff Software Engineer to join our Funnels AI Team, the group responsible for building the next-generation AI engine that powers the entire Funnels experience — from smart funnel creation, adaptive conversion flows, automated copy/design generation, real-time optimization, and predictive analytics across our product ecosystem.This team owns the intelligence layer that helps millions of SMBs build high-converting funnels without technical expertise. The Funnels AI platform orchestrates complex workflows across data processing, LLM-powered reasoning, design generation, experimentation frameworks, and personalized content delivery. With millions of funnels and billions of visitor interactions flowing through our systems, reliability, correctness, and performance are mission-critical. As a Staff Engineer, you will set the technical direction for our AI-driven funnel architecture, guide complex system design decisions, and mentor 10+ engineers across multiple squads working on AI Funnel/Website Builder, Blog AI Builder, Forms AI Builder and AI Agents. You’ll collaborate closely with product, infra, and design to define long-term strategy, improve engineering excellence, and deliver intuitive, generative, high-performance user experiences at scale.
Responsibilities
- Architecture & Platform Ownership: Own architecture and scaling decisions for core Funnels AI platform components (e.g., Funnel Generation Engine, Predictive Optimization Models, AI Content Systems)Lead design and implementation of cross-cutting initiatives to improve system responsiveness, generation accuracy, and platform robustnessBuild 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 NestJS, Node, Firestore, Vector Databases and Micro servicesDesign distributed systems that handle high-throughput generative and analytical workloads while ensuring correctness and low latencyBuild and optimize embeddings pipelines, retrieval-augmented generation (RAG), and multi-agent orchestration frameworksQuality, Observability & ReliabilityDrive improvements in observability using Prometheus/Grafana, OpenTelemetry, and structured loggingEstablish and maintain SLOs for generation latency, correctness, model safety, and system uptimeStrengthen 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 dataLeverage LLMs and AI tools to write, test, and debug code — while driving standards that ensure reliability and consistency across engineering teams
- Leadership & Collaboration:Mentor and guide engineers across squads, promoting technical excellence, code quality, and high-ownership culturePartner with PMs, designers, and other engineering leaders to define long-term roadmap and deliver high-performing AI-powered funnel featuresParticipate in reviews, deep dives, and on-call rotations to maintain a culture of accountability and operational excellence
Requirement
- 8+ years of backend engineering experience, including distributed system design and high-scale platform development
- Deep expertise in event-driven architectures, asynchronous workflows, and high-throughput data pipelines.
- Strong command of relational + NoSQL data models and complex transactional data
- Fluency in LLM integrations, vector search, embeddings, RAG patterns, and generative AI frameworksFamiliarity with frontend architecture using, Vue a solid understanding of UI/UX principlesOperational Excellence
- Experience with monitoring, alerting, and incident response for production systems
- Strong instincts for scaling, latency optimization, and reliability under real-world loadAI & LLM Safety
- Experience implementing structured generation, verification layers, retrieval-based grounding, and guardrails to reduce hallucinations
- Understanding of prompt engineering patterns, context injection, and model evaluation
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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