Full Stack Builder (Team of One - prospecting)

DelhiremoteApr 6, 2026·Posted 6 days ago

Description

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.

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 1 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

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.

What You'll Do

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

Minimum Qualifications

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

Preferred Qualifications

Experience building LLM-based or AI-driven products Familiarity with evaluation frameworks, monitoring, or instrumentation Experience with data pipelines, analytics, or telemetry Strong UX and front-end sensibility Portfolio or GitHub showcasing deployed systems Stack: React / Vue / Angular · Node.js / Python / Java

What Success Looks Like

Consistently reduces cycle time from idea to production Ships production-grade systems, not experiments Balances quality, latency, and cost in system design Builds evaluation loops that improve product performance over time