Full-Stack AI Engineer

We are looking for a highly skilled Full-Stack AI Engineer who can design, develop, and deploy advanced AI-driven applications. The ideal candidate will have strong expertise in RAG (Retrieval-Augmented Generation) systems, vector databases , and end-to-end ML pipelines . You will be working on scalable, production-grade AI solutions leveraging state-of-the-art frameworks and cloud-native technologies.

Key Responsibilities

• Design and implement RAG-based AI applications with optimized semantic search.
• Build and manage vector database solutions (Pinecone, Weaviate, Qdrant, FAISS).
• Develop and maintain production-ready ML systems ensuring performance and scalability.
• Apply prompt engineering techniques to fine-tune model interactions.
• Handle document chunking, embedding generation, and retrieval optimization .
• Integrate LangChain / LlamaIndex frameworks for orchestration.
• Implement caching strategies (Redis or similar) for efficiency.
• Collaborate with cross-functional teams to deliver end-to-end AI solutions.

Core Skills

Technical Requirements

Preferred Qualifications

Why Join Us?