Full-Stack / VibeCode Developer (AI-Accelerated Engineering)

Turn marketing into a market-domination weapon. We created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We’re the #1 lead marketplace in the USA, and we’re accelerating.

Lead the development of high-velocity, AI-native full-stack features across the product, using modern frameworks and AI-assisted engineering practices. This role focuses on fast, high-quality delivery, deep ownership of features end-to-end, and active use of AI tools to accelerate development, reduce manual work, and build scalable, intelligent systems.

Requirements

• 3-5+ years of experience as a full-stack developer in high-velocity product environments.
Strong hands-on experience with:
• Angular (v15+), RxJS, NgRx
• Node.js (NestJS), TypeScript
• MongoDB, Mongoose (PostgreSQL is a plus)
• REST APIs, WebSockets, GraphQL
• Asynchronous pipelines and microservices
• CI/CD pipelines, Docker, AWS
• Testing frameworks: Jest, Cypress, Playwright, Postman

• Practical experience using AI tools and copilots for development (VibeCode, ChatGPT, etc.).
• Understanding of how to build AI-driven features such as agents, embeddings, and automations.
• Experience integrating external APIs and AI model APIs (OpenAI API, LangChain is a plus).
• Strong debugging, refactoring, and problem-solving skills.
• Ability to work across the full product lifecycle: specification → development → testing → deployment.
• Product mindset: focused on solving real problems, not just writing code.
• English level B2+.

Responsibilities

• Develop full-stack features (frontend, backend, database) with high speed and quality.
• Actively use VibeCode and AI-assisted tools to accelerate development and reduce manual coding.
• Build and maintain scalable REST APIs, UI components, backend services, and internal micro-tools.
• Ensure clean architecture and maintainable, easy-to-extend codebases.
• Write automated tests (unit, integration, E2E), including AI-assisted test generation.
• Improve engineering workflows using AI and automation.
• Participate in code reviews (AI-assisted reviews are acceptable).
• Reduce technical debt, improve performance, and optimize existing modules.
• Create and maintain internal technical documentation, with AI support where applicable.
• Build internal AI workflows such as prompt chains, agents, utilities, scripts, migrations, and test data generators.
• Implement features using OpenAI API or other AI model APIs when required.

Nice to have

• Experience with marketing, GTM, or growth-focused systems.
• Hands-on experience with LangChain or similar AI orchestration frameworks.
• Experience building internal developer tools or automation frameworks.
• Familiarity with event-driven architectures.
• Previous work in AI-first or automation-heavy product teams.