Full Stack Builder (Team of One) at gohighlevel – India | Jobyssey

About HighLevel:
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.

Our People
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.

Our Impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts.

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:

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

EEO Statement:

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