Senior Full-Stack Developer (tech stack is flexible) to $6500

Шукаємо Senior Full-stack Web девелопера/девелоперку в  продуктову компанію, яка займається повним циклом AI-автоматизації e-commerce компаній відомих брендів. Робота віддалена, напряму на продуктову команду з США.

Шукаємо виключно українських девелоперів (в Україні, або Європі). Пропонуємо гнучкі умови, деталі нижче.

Режим роботи більше як стартап: треба вміти самому зрозуміти вимоги, зробити швидкий прототип (Cursor, Claude Code, replit) і потім довести до production-ready.

Початковий контракт – 6 місяців з можливістю перейти на фул-тайм, якщо все буде ок в роботі.

Тех стек флексібл, оскільки багато нового функціоналу ще не написано і команда ок підлаштуватися під ваш бекграунд / рекомендації. 

В ідеалі фронт react/typescript/JS/vue, etc

В ідеалі бек: node.js або Python або будь-яка інша сучасна мова.

Нижче детальний опис англійською:

The Role

We are seeking a "start-up mode" developer who thrives on building things from scratch. You will be responsible for creating new features and standalone products designed to mimic or replicate popular services for API data management, data visualization, web scraping, and data analysis using Large Language Models (LLMs).

The ideal candidate is a builder at heart, someone who can take a concept, build a functional prototype in days (not weeks), and iterate it into a production-ready solution. You must be highly proficient in leveraging modern GenAI tools (like Claude Code, GPT Codex, Replit AI, etc.) to massively accelerate your development workflow.

This is a high-autonomy role. You will be expected to own projects from end-to-end: analyzing requirements, architecting the solution, building the prototype, incorporating feedback, and hardening it for production.

Key Responsibilities

• End-to-End Development: Single-handedly manage the full lifecycle of new projects, from initial requirements analysis to deployment.
• Rapid Prototyping: Utilize GenAI coding tools (Claude, GitHub Copilot/Codex, Replit, etc.) to build functional prototypes at high speed.
• Iterate & Refine: Work closely with product managers to gather feedback on prototypes and iterate quickly to meet business goals.
• Productionalization: Convert successful prototypes into robust, scalable, and secure production-ready applications.
• Full-Stack Implementation: Design and build backend services, APIs, and databases, as well as clean, functional frontend interfaces.
• Core Project Focus: Develop solutions focused on:
  • API data management
  • Data visualization dashboards
  • Web scraping and data extraction
  • LLM-powered data analysis and insights

Qualifications & Skills

Required:

• Proven Full-Stack Experience: Demonstrable experience building and deploying complex web applications.
• Mastery of GenAI Tools: Expertise in using AI-powered development tools (Claude Code, GPT Codex, GitHub Copilot, Replit AI, etc.) as a core part of your daily workflow. You must be able to show how you use these tools to be faster and more effective.
• "Start-up" Mindset: A highly motivated, autonomous, and proactive individual who is comfortable with ambiguity and can own a project from concept to completion.
• Rapid Development: A strong bias for action and a proven ability to build and ship functional software quickly.
• Strong Problem-Solver: Excellent analytical skills and the ability to break down complex problems into simple, buildable solutions.

Preferred Tech Stack:

While your ability to learn and build fast is more important than a specific framework, preference will be given to candidates experienced in common, modern stacks:

• Frontend: React (with TypeScript), Vue.js, or modern JavaScript (ES6+)
• Backend: Node.js (with Express) or Python (e.g., Flask, Django)
• Databases: Experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) databases.
• Cloud: GCP, AWS, Azure (any).

Nice to Have:

• Experience building data visualization tools (e.g., D3.js, Chart.js, Leaflet, OpenStreetMap, etc).
• Familiarity with web scraping technologies (e.g., Puppeteer, Playwright, Beautiful Soup).
• Experience integrating with third-party LLM APIs (e.g., OpenAI, Anthropic, GCP).