Full Stack Builder (Team of One)

• 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.

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

Why You'll Love Working Here:

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• Massive Impact: Your work directly affects millions of businesses worldwide

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• High Autonomy: We trust builders to own outcomes, not just tasks

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• Remote-First: Work from anywhere; we measure results, not hours

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• AI-Native Stack: Latest tooling to accelerate building and experimentation

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• Builder Culture: We value speed, ownership, clarity of thought, and execution

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Originally posted on Himalayas