Experience: Fresher / Entry Level
Qualification: Diploma / B.Tech / B.E. / BCA / MCA / Computer Science / IT Related Field
Location: On-site / Remote / Hybrid
Package: 3.5 LPA – 7.2 LPA (Based on Skills, Projects & Interview Performance)
Job Summary
We are looking for an enthusiastic AI Full Stack Developer to build next-generation AI-powered applications, intelligent agents, chatbots, voice assistants, and enterprise automation solutions. The ideal candidate should have strong knowledge of modern web development along with AI technologies such as LLMs, RAG, AI Agents, LangChain, LangGraph, and MCP.
Key Responsibilities
- Design and develop AI-powered web applications and platforms.
- Build and integrate Large Language Model (LLM) applications.
- Develop AI Agents and Agentic AI workflows.
- Create RAG (Retrieval-Augmented Generation) systems using vector databases.
- Implement LangChain and LangGraph-based AI solutions.
- Develop frontend applications using React.js / Next.js.
- Build backend services using Python, Node.js, and FastAPI.
- Design and manage PostgreSQL databases.
- Develop and integrate REST APIs.
- Implement Voice AI solutions using Speech-to-Text (STT) and Text-to-Speech (TTS).
- Integrate third-party AI models and services.
- Deploy, monitor, and maintain AI applications on cloud platforms.
- Collaborate with development and product teams to deliver scalable solutions.
- Optimize AI applications for performance, security, and reliability.
Required Skills
Programming & Frameworks
- Python
- TypeScript
- React.js
- Next.js
- Node.js
- FastAPI
Database & APIs
- PostgreSQL
- REST API Development
- Database Design & Optimization
AI & Machine Learning
- LLM Applications
- Prompt Engineering
- RAG (Retrieval-Augmented Generation)
- AI Agents
- Agentic AI Systems
- Model Integration & Deployment
AI Frameworks & Tools
- LangChain
- LangGraph
- MCP (Model Context Protocol)
Vector Databases
- FAISS
- ChromaDB
- Pinecone
Voice AI
- Speech-to-Text (STT)
- Text-to-Speech (TTS)
DevOps & Cloud
- Git & GitHub
- Docker (Preferred)
- AWS / Azure / Google Cloud Platform (GCP)
Preferred Qualifications
- Experience building AI projects, chatbots, or automation tools.
- Knowledge of Generative AI and AI workflow orchestration.
- Understanding of cloud deployment and scalable architectures.
- Strong problem-solving and analytical skills.
- Open-source contributions or personal AI projects are a plus.
Freshers Can Apply
Candidates with strong AI and Full Stack projects, internships, hackathons, or practical experience are encouraged to apply.
Why Join Us?
- Work on cutting-edge AI technologies.
- Build real-world AI products and intelligent agents.
- Opportunity to learn and work with advanced LLM ecosystems.
- Fast-growing and innovation-driven environment.