Job Description – AI Full Stack DeveloperPosition
AI Full Stack Developer
Experience
3+ Years
Employment Type
Full-Time
Job Summary
We are seeking a highly motivated AI Full Stack Developer with 3+ years of professional experience in designing, developing, and deploying modern web applications integrated with Artificial Intelligence technologies. The ideal candidate will possess strong expertise across frontend and backend development, cloud platforms, databases, and AI/LLM integrations to build secure, scalable, and high-performance enterprise applications.
Key Responsibilities
- Design, develop, and maintain scalable full-stack web applications.
- Build AI-powered features using Large Language Models (LLMs), AI agents, and Retrieval-Augmented Generation (RAG).
- Integrate AI services such as OpenAI, Anthropic Claude, Google Gemini, and other enterprise AI platforms.
- Develop secure RESTful APIs and backend services using Node.js and modern frameworks.
- Design responsive, user-friendly interfaces using React.js/Next.js and modern UI frameworks.
- Build and optimize vector search, embeddings, and document intelligence solutions.
- Design scalable database architectures and optimize application performance.
- Deploy, monitor, and maintain applications on cloud platforms using modern DevOps practices.
- Collaborate with Product Managers, UI/UX Designers, QA Engineers, and cross-functional teams throughout the software development lifecycle.
- Write clean, maintainable, well-documented, and testable code while following industry best practices.
- Participate in code reviews, technical discussions, sprint planning, and architectural decisions.
- Stay current with emerging AI technologies, frameworks, and development practices.
Required Technical SkillsFrontend
- React.js
- Next.js
- TypeScript
- JavaScript (ES6+)
- HTML5
- CSS3
- Tailwind CSS
- Material UI
- Redux / Context API
Backend
- Node.js
- Express.js or NestJS
- REST APIs
- GraphQL
- JWT Authentication
- OAuth 2.0
- WebSockets
Database
- PostgreSQL
- MongoDB
- Redis
- Prisma / Sequelize / TypeORM
Artificial Intelligence
- OpenAI API
- Anthropic Claude
- Google Gemini
- LangChain
- LangGraph
- AI Agents
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Vector Databases (Pinecone, Qdrant, Weaviate, ChromaDB)
- Embeddings
- Model Context Protocol (MCP)
Cloud & DevOps
- AWS (EC2, ECS, S3, RDS, Lambda)
- Docker
- Kubernetes (Basic Knowledge)
- GitHub Actions
- CI/CD Pipelines
- Nginx
Development Tools