Job Summary

We are looking for a highly skilled AI Full Stack Developer who can build, deploy, and scale AI-powered web applications from concept to production. The ideal candidate has experience in LLMs (ChatGPT, Claude, Gemini), AI agents, RAG systems, backend APIs, contemporary frontend frameworks, cloud deployment, and databases.

You will work closely with product, design, and marketing teams to create intelligent applications that automate workflows, improve customer experiences, and drive business growth.

Key ResponsibilitiesAI Development

- Build AI-powered web applications using Large Language Models (LLMs).
- Develop AI chatbots and virtual assistants.
- Create AI agents capable of executing multi-step workflows.
- Integrate OpenAI, Anthropic, Google Gemini, and other AI APIs.
- Build Retrieval-Augmented Generation (RAG) systems.
- Fine-tune prompts for accuracy and performance.
- Implement vector databases for semantic search.
- Develop document understanding systems using OCR and AI.
- Build AI workflows using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
- Optimize AI response quality, latency, and costs.

Full Stack Development

Develop scalable web applications using:

Frontend

- React.js
- Next.js
- TypeScript
- JavaScript
- HTML5
- CSS3
- Tailwind CSS
- Material UI
- Responsive Design

Backend

- Node.js
- Express.js
- Python (FastAPI/Django/Flask)
- REST APIs
- GraphQL
- WebSockets

Database Management

- PostgreSQL
- MySQL
- MongoDB
- Redis
- Firebase
- Supabase
- Pinecone
- Weaviate
- ChromaDB
- FAISS

Cloud & DevOps

- AWS
- Google Cloud Platform
- Microsoft Azure
- Docker
- Kubernetes
- CI/CD Pipelines
- GitHub Actions
- Vercel
- Netlify
- Linux Server Management

API Integration

Integrate third-party services including:

- OpenAI API
- Claude API




- Gemini API
- Stripe
- Razorpay
- WhatsApp Business API
- Twilio
- SendGrid
- Google Maps
- HubSpot
- Salesforce
- Slack
- Zapier
- Make (Integromat)

AI Automation

- Workflow automation
- AI-powered CRM
- AI customer support systems
- AI document processing
- AI email assistants
- AI voice assistants
- AI analytics dashboards
- Business process automation

Security & Performance

- Authentication (OAuth, JWT)
- API Security
- Data Encryption
- Rate Limiting
- Caching
- Performance Optimization
- Load Balancing
- Monitoring & Logging

Required SkillsProgramming Languages

- Python
- JavaScript
- TypeScript
- SQL

AI & Machine Learning

- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings
- Vector Search
- AI Agents
- NLP
- Machine Learning fundamentals
- AI Evaluation & Monitoring

Frontend

- React.js
- Next.js
- Redux/Zustand
- Tailwind CSS
- HTML/CSS
- Responsive UI

Backend

- Node.js
- Express.js
- FastAPI
- REST API Development
- GraphQL
- Authentication
- Microservices

Databases

- PostgreSQL
- MongoDB
- Redis
- Vector Databases

Version Control

- Git
- GitHub
- GitLab
- Bitbucket

DevOps

- Docker
- CI/CD
- Kubernetes (preferred)
- Cloud Deployment

Preferred Qualifications

- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
- Experience building AI SaaS products.




- Experience deploying AI applications at scale.
- Knowledge of LlamaIndex, LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
- Experience with Hugging Face models and open-source LLMs.
- Familiarity with MCP (Model Context Protocol) and AI tool integrations.
- Experience with real-time applications and streaming AI responses.

Soft Skills

- Strong analytical and problem-solving skills.
- Excellent communication and collaboration.
- Ability to work independently and manage multiple projects.
- Product-oriented mindset with attention to user experience.
- Continuous learning and adaptability to evolving AI technologies.

Key Performance Indicators (KPIs)

- AI application deployment success rate.
- API performance and uptime.
- AI response accuracy and latency.
- Feature delivery within timelines.
- Application scalability and reliability.
- Security compliance and code quality.
- User engagement and satisfaction.
- AI cost optimization.
- Bug resolution turnaround time.
- Code review quality and documentation standards.

Preferred Tech StackCategoryTechnologiesAIOpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, AutoGen, Hugging FaceFrontendReact.js, Next.js, TypeScript, Tailwind CSSBackendNode.js, Express.js, FastAPI, PythonDatabasePostgreSQL, MongoDB, Redis, Pinecone, Weaviate, ChromaDBCloudAWS, Azure, GCPDevOpsDocker, Kubernetes, GitHub ActionsToolsGit, Postman, VS Code, Figma, Jira, Notion

Pay: ₹20,000.00 - ₹35,000.00 per month

Ability to commute/relocate:

- Wadala, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required)

Experience:

- Full-stack development: 1 year (Required)

Work Location: In person

📌 Full Stack Developer (India)
🏢 Luminior
📍 India