Gohighlevel1mo ago

Full Stack Builder (Team of One)

IndiaRemoteEmployee Indiamid

EngineeringFull Stack Builder

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Quick Summary

Overview

About HighLevel: HighLevel is an AI-powered operating system that helps businesses grow. Over 1 million businesses globally run on HighLevel, processing 15+ billion API hits, 2.

Technical Tools

EngineeringFull Stack Builder

About HighLevel:

HighLevel is an AI-powered operating system that helps businesses grow. Over 1 million businesses globally run on HighLevel, processing 15+ billion API hits, 2.5 billion messaging events, and 470 terabytes of data daily across 250+ micro services and 1 million+ domains worldwide. HighLevel answers over 1.3m+ calls a month using AI, and sends over 17m text messages using AI. Together with AskAI, the agent builder and the AI employee it is the AI platform of choice to grow.

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.

About the Role:

The traditional model of siloed product managers, designers, and engineers is too slow for modern AI-native development. At HighLevel, every engineer owns a product outcome end-to-end, from idea to prototype to production to scale. You will operate as a Team of One. With AI tooling and strong engineering infrastructure, a single engineer can now build what previously required an entire squad. You are not implementing tickets. You own the product.

End-to-End Product Ownership:

Translate business goals into working, deployable systems

Define architecture, workflows, and implementation plans

Ship and maintain production-grade systems — not demos or prototypes

Rapid Prototyping & Iteration:

Turn ambiguous ideas into working demos within hours or days

Prototype using code, AI tooling, automation, or low-code systems

Validate through experiments and real user feedback, then iterate to production quality

Build AI-Native Systems:

Design and orchestrate LLM agents, retrieval pipelines, workflow automation, memory layers, APIs, and guardrails. Build for resilience against hallucinations, model variability, and quality degradation over time.

Design for Scale, Cost & Performance:

Reason through token consumption, inference cost, latency constraints, infrastructure scalability, and system resilience. The goal: systems that work efficiently at scale.

Operational Excellence:

Instrument systems with monitoring and telemetry

Build evaluation loops for continuous quality improvement

Automate workflows that increase engineering velocity

Maintain clear, repeatable documentation

Demonstrated track record of shipping production systems

Strong systems thinking and logical reasoning

High ownership mindset; operates well with minimal supervision

Comfortable with ambiguity and fast iteration cycles

Experience with APIs, automation tools, or AI platforms

Ability to reason about infrastructure tradeoffs and system reliability

Experience building LLM-based or AI-driven products