Full Stack Builder (Team of One - prospecting) at HighLevel

Delhi, delhi, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full stack development, Product ownership, AI-native systems, LLM agents, Retrieval pipelines, Workflow automation, React, Vue, Angular, Node.js, Python, Java, Systems architecture, Rapid prototyping, Telemetry, Data pipelines

Industry

Software Development

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. 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. \n 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: 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 \n 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. #LI-Remote #LI-RS1

Responsibilities

You will own the end-to-end product lifecycle, from initial idea and prototyping to production deployment and scaling. You are responsible for designing AI-native systems, managing infrastructure, and implementing evaluation loops to ensure continuous performance improvement.