HighLevel - Full Stack Builder (Team of One)
Requirements
• 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 • 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 • 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 • Massive Impact: Your work directly affects millions of businesses worldwide • High Autonomy: We trust builders to own outcomes, not just tasks • Remote-First: Work from anywhere; we measure results, not hours • AI-Native Stack: Latest tooling to accelerate building and experimentation • Builder Culture: We value speed, ownership, clarity of thought, and execution
Responsibilities
• 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
Benefits
• Massive Impact: Your work directly affects millions of businesses worldwide • High Autonomy: We trust builders to own outcomes, not just tasks • Remote-First: Work from anywhere; we measure results, not hours • AI-Native Stack: Latest tooling to accelerate building and experimentation • Builder Culture: We value speed, ownership, clarity of thought, and execution
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