EngineeringRemote

Full Stack Builder (Team of One)

HighLevel · Remote

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Last seen by MeritLog September 12, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from HighLevel's Lever job board and last checked it on September 12, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model: Remote
Salary: Not listed by source
Location: India

Hiring context

How this role compares at HighLevel

HighLevel has 91 live roles in MeritLog’s catalog across 10 job families, and 32 of them are in engineering. 17 of those listings publish a pay range, a disclosure rate of 19%.

HighLevel concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd 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

What they're asking for

Demonstrated track record of shipping production systemsSkill
Strong systems thinking and logical reasoningSkill
High ownership mindset; operates well with minimal supervisionSkill
Comfortable with ambiguity and fast iteration cyclesSkill
Experience with APIs, automation tools, or AI platformsSkill
Ability to reason about infrastructure tradeoffs and system reliabilitySkill
Experience building LLM-based or AI-driven productsSkillPreferred
Familiarity with evaluation frameworks, monitoring, or instrumentationSkillPreferred
Experience with data pipelines, analytics, or telemetrySkillPreferred
Strong UX and front-end sensibilitySkillPreferred
Portfolio or GitHub showcasing deployed systemsSkillPreferred
Stack: React / Vue / Angular · Node.js / Python / JavaSkillPreferred
Consistently reduces cycle time from idea to productionSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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: 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 recordkeeping, 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

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