Lead Engineer (AI Studio)

HighLevel; Texas; Híbrido; USD 150.000 - 230.000; Jornada completa

Descripción de la vacante

HighLevel is seeking a Lead Software Engineer for the AI Studio Team, building a React‑based application builder that generates production‑ready websites from natural language. You will own architecture, drive design decisions, and serve as a hands‑on technical leader across app generation, domain publishing, and AI content systems.

You will mentor engineers, shape the roadmap with product and design, and ensure high performance, reliability, and scalability of the platform in production.

Formación

• 6+ years of backend engineering with distributed systems experience.
• Strong proficiency in Go (Golang) and Node/NestJS for high‑performance services.
• Hands‑on with edge/serverless platforms like Cloudflare Workers and KV.
• Deep expertise in event‑driven architectures, data pipelines, and RAG patterns.

Responsabilidades

• Own architecture decisions for AI Studio platform components and scaling.
• Lead design and implementation of distributed systems with low latency and high throughput.
• Mentor engineers, review designs, and promote technical excellence across teams.
• Define long‑term roadmaps with PMs and designers and drive execution.
• Maintain SLOs, observability, and reliability during traffic spikes.
• Collaborate with infra, security, and product to ensure robust, compliant solutions.

Conocimientos

Technical leadership

Mentoring

Cross-functional collaboration

Herramientas

Go

NestJS

Node

PostgreSQL

Firestore

Vector databases

Cloudflare Workers

Cloudflare KV

Microservices

Descripción del empleo

We're looking for a Lead Software Engineer to join our AI Studio Team, the group responsible for building AI Studio, an AI-based React application builder that generates production-ready websites and other React applications from natural language, which users can then connect to custom domains and publish live to the internet through prompt-driven app generation, component and layout creation, automated copy/design generation, real-time preview and editing, and one-click deployment across our product ecosystem.

As a lead engineer, you will drive the technical direction for our AI-driven application-builder architecture, lead complex system design decisions, and serve as a hands‑on technical leader and mentor for the engineers building AI Studio's app generation engine, React website/app builder, design and component systems, domain publishing pipeline, and AI agents. This is a hands‑on individual contributor role—you'll spend the majority of your time designing systems and writing production code, while partnering closely with product, infra, and design to shape the roadmap, raise engineering standards, and deliver intuitive, generative, high‑performance user experiences at scale.

The core responsibilities for the job include the following:

Architecture and Platform Ownership:

• Own architecture and scaling decisions for core AI Studio platform components (e. g., App Generation Engine, React Build and Render Pipeline, Domain and Publishing Pipeline, and 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.

AI and Distributed Systems Engineering:

• 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 optimise embeddings pipelines, retrieval‑augmented generation (RAG), and multi‑agent orchestration frameworks.

Quality, Observability, and Reliability:

• 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.

AI Guardrails, Safety, and 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 data.
• Leverage LLMs and AI tools to write, test, and debug code while driving standards that ensure reliability and consistency across engineering teams.

Technical Leadership and Collaboration:

• 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 a 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.

Requirements:

• 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 optimisation, 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.

Operational Excellence:

• Experience with monitoring, alerting, and incident response for production systems.
• Strong instincts for scaling, latency optimisation, and reliability under real‑world load.

AI and 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.

Soft Skills:

• Exceptional communication and cross‑functional leadership capabilities.
• Pragmatic decision‑making with a balance of long‑term vision and iterative execution.