We are looking for an exceptional Full Stack Developer with hands-on experience in modern web development and a strong understanding of Agentic AI systems.

You will build AI-powered SaaS products, integrate Large Language Models, design scalable backend systems, and develop intelligent agents capable of autonomous task execution.

This role is ideal for someone who enjoys solving complex engineering problems and experimenting with the latest AI technologies. Pay will be based on the Pow/exp

Responsibilities

• Design and develop scalable full-stack web applications
• Build AI-powered SaaS products from concept to deployment
• Develop autonomous AI agents capable of planning, reasoning, memory, and tool usage
• Integrate OpenAI, Anthropic, Gemini, Claude, or open-source LLMs
• Build RAG pipelines using vector databases
• Design APIs and backend services for AI workflows
• Integrate external tools such as CRM, WhatsApp, email, calendars, payment gateways, and business software
• Build workflow automation using platforms such as N8N or similar orchestration tools
• Develop voice-enabled AI applications
• Optimize latency, scalability, and AI inference performance
• Collaborate with product and AI teams to rapidly prototype and ship features

Required Skills

Frontend

• React
• Next.js
• TypeScript
• Tailwind CSS
• HTML5
• CSS3

Backend

• Node.js
• Express.js or NestJS
• Python (FastAPI preferred)
• REST APIs
• GraphQL (optional)

Database

• PostgreSQL
• MongoDB
• Redis

Cloud & DevOps

• AWS
• Docker
• Git
• CI/CD pipelines
• Linux

AI & Agentic AI

Experience with several of the following:

• OpenAI APIs
• Anthropic Claude
• Gemini APIs
• LangChain
• LangGraph
• CrewAI
• AutoGen
• MCP (Model Context Protocol)
• RAG
• Vector Databases (Pinecone, Weaviate, Qdrant, Chroma)
• Prompt Engineering
• AI Tool Calling
• Multi-Agent Systems
• Function Calling
• AI Memory Architectures
• Workflow Automation (N8N, Make, etc.)

We are offering AI agent solutions for industries like BFSI and Realestate . We are exploring how our agents can help in Ecom in
Things like:
- COD confirmation
- Cart recovery
- Post-order follow-ups
- Customer reactivation
- Lead qualification
- Receptionist for your website

We’ve been experimenting with AI voice agents internally and noticed that many smaller teams still do these manually or through call centers.

Wanted to understand from people running e-commerce operations:
- What part of calling operations is the biggest headache?
- Do customers actually respond well to automated calls now?
- Where do human callers still outperform automation?

We’re also looking to test our system with a few stores for free for a month in exchange for feedback and learning.

Would genuinely appreciate insights from business owners here.