AI-First Full Stack Engineer
Explicitly requires vibe coding skills and heavy use of AI coding assistants (Cursor, Copilot, ChatGPT) for rapid prototyping and feature generation.
About the Role
Build high-quality, AI-augmented MERN applications quickly by leveraging AI coding assistants and integrating LLM features when needed. Architect scalable serverless microservices on AWS, implement robust testing and CI/CD, and deliver production-ready full-stack features in a fast-paced environment.
Job Description
Role
AI-First Full Stack Engineer responsible for delivering production MERN applications rapidly using AI coding assistants and integrating LLM-powered features. The role emphasizes architecting scalable AWS microservices/serverless systems, designing databases, and maintaining high testing and deployment standards.
Key Responsibilities
- Develop full-stack applications using the MERN stack (React, Node.js, Express, MongoDB) and SQL databases (PostgreSQL/MySQL).
- Design and optimize database schemas for both SQL and NoSQL systems.
- Architect and implement AWS microservices and serverless solutions (Lambda, API Gateway, DynamoDB, SQS/SNS/EventBridge).
- Build and consume REST and GraphQL APIs; implement authentication and authorization.
- Write comprehensive unit, integration, and E2E tests; follow TDD practices where appropriate.
- Implement CI/CD pipelines and infrastructure as code for reliable deployments.
- Containerize services and manage container orchestration; monitor performance and code quality.
- Use AI coding assistants and prompt engineering to rapidly prototype, generate components, and accelerate development workflows.
- Integrate LLM APIs and AI features (chatbots, RAG, embeddings, vector DBs) when required.
Requirements
- 4+ years of full-stack development experience (MERN preferred).
- 3+ years of experience building AWS microservices/serverless architectures.
- 2+ years of applied AI / AI orchestration experience.
- Proven experience using AI tools to significantly accelerate development and delivering AI-powered features.
- Strong knowledge of REST/GraphQL APIs, authentication/authorization, and database design.
- Experience with testing frameworks and practices (unit, integration, E2E, API testing).
- Experience with DevOps practices: Docker, CI/CD (GitHub Actions/Jenkins), IaC (Terraform/CloudFormation), and monitoring.
- Ability to architect scalable systems and make sound trade-offs between manual design and AI-assisted generation.
Tech Stack (examples mentioned)
React, Node.js, Express, MongoDB, PostgreSQL, MySQL, REST, GraphQL, AWS (Lambda, API Gateway, DynamoDB, EC2, S3, RDS, ECS), SQS, SNS, EventBridge, Docker, GitHub Actions, Jenkins, Terraform, CloudFormation, Serverless framework, Jest, Mocha, Cypress, Playwright, Postman, Supertest, OpenAI, Anthropic, GitHub Copilot, Cursor, ChatGPT, Claude, Anti Gravity, Claude Code, Lovable, v0, Bolt, Replit Agent, embeddings and vector DBs.
Benefits & Logistics
- Employment: Full-time, Permanent
- Pay range provided in job posting.
- Benefits: Health insurance, work from home (remote role).
Exclusions
This summary omits company marketing copy and application buttons; it focuses on core technical responsibilities and requirements.