Lead Developer (SA/LATAM/EE)

Lead Developer

Remote | Full-Time

About our client

Our client is a fast-growing consumer brand making whole-fruit gummy vitamins. We’re a small, high-performing team that punches above our weight — and a big part of that is the technology we build internally.

We’ve developed an AI-powered operating platform that acts as the company’s operational brain — helping our team move faster, stay on-brand, and make better decisions.

This is not experimental. The platform is live, in daily use, and continuously evolving. We are not exploring AI as a concept — we are building and scaling it as core infrastructure.

Why This Role Matters

Our platform works. Now we need someone who can take it from “working” toscalable, reliable, and continuously improving.

This is our first dedicated engineering hire. You won’t be joining a large team — you will be the technical owner of the system. You’ll ship features, improve reliability, and directly shape what gets built next.

The founder defines the vision and priorities. Your role is toexecute — turning that vision into high-quality, production-ready software.

This role reports directly to the founder.

How We Build

We build using AI-assisted development tools — primarily Claude Code.

You will not be writing everything from scratch. You will:
* Use AI tools to accelerate development
* Structure and prompt effectively
* Critically review, test, and validate outputs
* Ship reliable, production-ready systems
Success in this role depends heavily on your ability touse AI coding tools as a core part of your workflow— not as a side experiment.

What You’ll Own
* The full platform: backend APIs, frontend app, data pipelines, AI integrations, infrastructure, and deployments
* Production reliability: monitoring, performance, incident response, and cost management
* Data pipelines: ingestion, transformation (SQL), and analytics layer
* Feature development using AI-assisted workflows
* Security and access control: permissions, secrets, logging, and data protection

What You’ll Work On (Near-Term)
* Hardening data warehouse pipelines for production
* Building new features using AI-assisted development
* Extending planning and goal-tracking tools
* Integrating additional data sources
* Improving observability, error handling, and system stability
* Keeping the frontend fast, intuitive, and usable for non-technical users

Key Responsibilities
* Ship production-ready code across the stack (Python, TypeScript/React, SQL, infrastructure)
* Use AI-assisted tools (Claude Code, Cursor, Copilot, etc.) as your primary development workflow
* Review and validate AI-generated code before production
* Design and maintain APIs, background jobs, and pipelines
* Manage cloud infrastructure, deployments, monitoring, and cost
* Maintain and evolve the data warehouse and analytics layer
* Write tests, manage CI/CD, and ensure system stability
* Partner directly with the founder to translate business needs into software
* Document systems, decisions, and runbooks to maintain clarity and continuity

Required Qualifications
* Degree in Computer Science, Software Engineering, or a related field
* Strong programming fundamentals — able to read, debug, and evaluate code across languages
* Proficiency in Python and JavaScript/TypeScript (or strong in one with ability to ramp quickly)
* Solid SQL skills — querying, schema design, and working with data
* Experience building or maintaining production web applications
AI Development (Critical Requirement):
* Daily, hands-on experience with AI coding tools (Claude Code, Cursor, Copilot, Codex, etc.)
* Ability to effectively prompt, structure tasks, and validate outputs
* Strong judgment in identifying and correcting AI-generated errors
* Proven use of AI tools on real, non-trivial projects
AI Systems Understanding:
* Practical understanding of LLMs, prompting, context windows, failure modes, and retrieval
* Ability to reason about how AI tools behave and why
Engineering Judgment:
* Strong understanding of production systems (testing, monitoring, reliability, performance)
* Ability to distinguish between “works locally” and “production-ready”
Other:
* Self-directed and resourceful
* Clear communicator (able to work with non-technical stakeholders)
* Strong written and spoken English

Nice to Have
* Experience with React/Next.js, FastAPI, PostgreSQL, Docker, CI/CD
* Experience with data pipelines, ETL tools, or data warehouses (e.g., dbt)
* Exposure to LLM APIs (OpenAI, Anthropic, etc.)
* Startup or small-team experience
* Familiarity with cloud platforms (AWS, Vercel, Railway, Heroku, etc.)

First 90 Days

Days 1–30: Learn the System
* Understand platform architecture (backend, frontend, data, AI, infrastructure)
* Set up locally and deploy your first change
* Get comfortable with AI-assisted workflows in the codebase
* Learn how the team uses the platform day-to-day
Days 31–60: Start Shipping
* Deliver meaningful features or fixes from the roadmap
* Imp