Full Stack Developer Generative AI (Fresher)

As a Full Stack Developer with Generative AI exposure, you will be responsible for building scalable web applications, integrating AI capabilities such as chatbots or intelligent features, and working across both frontend and backend systems. Your strong fundamentals in full-stack development and basic understanding of Generative AI, LLMs, and modern AI-driven application development will be essential for this role.

Key Responsibilities:

• Strong knowledge of JavaScript (ES6+) and/or Python
• Hands-on experience with React.js / Next.js
• Basic understanding of Node.js / Express.js or FastAPI / Flask
• Knowledge of REST APIs and backend integration
• Understanding of MongoDB / SQL databases
• Basic understanding of Generative AI / LLMs
• Familiarity with Git/GitHub and version control
• Strong problem-solving and coding skills

Preferred Skills:

• Exposure to LLMs (OpenAI, Gemini, etc.)
• Understanding of RAG (Retrieval-Augmented Generation)
• Experience with LangChain / LangGraph or similar frameworks
• Familiarity with Vector Databases (FAISS, Pinecone, etc.)
• Knowledge of prompt engineering techniques
• Basic knowledge of Docker and deployment
• Exposure to cloud platforms (AWS / GCP / Azure)
• Experience building chatbots or AI-based applications As a Full Stack Developer with Generative AI exposure, you will be responsible for building scalable web applications, integrating AI capabilities such as chatbots or intelligent features, and working across both frontend and backend systems. Your strong fundamentals in full-stack development and basic understanding of Generative AI, LLMs, and modern AI-driven application development will be essential for this role.

Key Responsibilities:

• Strong knowledge of JavaScript (ES6+) and/or Python
• Hands-on experience with React.js / Next.js
• Basic understanding of Node.js / Express.js or FastAPI / Flask
• Knowledge of REST APIs and backend integration
• Understanding of MongoDB / SQL databases
• Basic understanding of Generative AI / LLMs
• Familiarity with Git/GitHub and version control
• Strong problem-solving and coding skills

Preferred Skills:

• Exposure to LLMs (OpenAI, Gemini, etc.)
• Understanding of RAG (Retrieval-Augmented Generation)
• Experience with LangChain / LangGraph or similar frameworks
• Familiarity with Vector Databases (FAISS, Pinecone, etc.)
• Knowledge of prompt engineering techniques
• Basic knowledge of Docker and deployment
• Exposure to cloud platforms (AWS / GCP / Azure)
• Experience building chatbots or AI-based applications