Posted today · be early
Full Stack Builder (Team of One)
HighLevel
IndiaremotePosted today
Skill Required
Fullstack-DevelopmentSoftware-EngineerProduct-EngineeringAI-EngineeringWeb-DevelopmentFull-Stack-DeveloperFreelance-Full-Stack-DeveloperFreelance-Full-Stack-DevelopmentFull-Stack-EngineerFull-Stack-Web-DeveloperFull-Stack-Software-ContractorFull-Stack-Software-DeveloperFull-StackDeveloperSystem DesignPrototypingEngineeringautomationObservabilityanalyticsNode.jsbuildingAngularPythondesignGitReactRustJavaAPIsVueandGenerative AIAIFulltime
Key highlights
- Remote‑First work environment
- Full product ownership as a Team of One
- Preferred: Experience building LLM‑based or AI‑driven products
- High autonomy and massive impact
- Minimum qualification: demonstrated track record of shipping production systems
- Tech stack includes React/Vue/Angular and Node.js/Python/Java
Role overview
At HighLevel, engineers own product outcomes end‑to‑end, acting as a one‑person team that takes ideas from concept through prototype to production‑grade, scalable systems using AI tooling and strong engineering infrastructure. This role involves full product ownership, rapid prototyping, building AI‑native systems, designing for scale, cost and performance, and ensuring operational excellence in a remote‑first, high‑autonomy environment.
Responsibilities
- Translate business goals into working, deployable systems
- Define architecture, workflows, and implementation plans
- Ship and maintain production‑grade systems — not demos or prototypes
- 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
- 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.
- Reason through token consumption, inference cost, latency constraints, infrastructure scalability, and system resilience. The goal: systems that work efficiently at scale.
- Instrument systems with monitoring and telemetry
- Build evaluation loops for continuous quality improvement
- Automate workflows that increase engineering velocity
- Maintain clear, repeatable documentation
- 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
Requirements
- 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
Nice to have
- 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
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
Additional details
- 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.
- EEO Statement: The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record‑keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.
- We encourage you to review our Privacy Policy before submitting your application.
- Originally posted on Himalayas
