(3 Days Left) Full-Stack AI Engineer

About the Role :

We are seeking a highly skilled Full-Stack AI Engineer to design, build, and deploy end-to-end AI solutions. The ideal candidate will have hands-on experience in Retrieval-Augmented Generation (RAG), semantic search, and deploying scalable machine learning systems into production. You will work closely with cross-functional teams to develop cutting-edge AI-powered applications leveraging modern frameworks, vector databases, and LLM-based technologies.

Key Responsibilities :

• Design, implement, and optimize RAG pipelines for AI-driven applications.
• Build and manage vector database solutions (e.g., Pinecone, Weaviate, Qdrant, FAISS).
• Develop semantic search and information retrieval systems.
• Implement production-grade ML systems, ensuring scalability, reliability, and performance.
• Collaborate with product and research teams to integrate LLM-based solutions.
• Apply prompt engineering techniques for improved LLM outputs.
• Optimize document chunking strategies for knowledge ingestion pipelines.
• Work on caching, performance tuning, and infrastructure optimization (e.g., Redis).

Core Skills :

Technical Requirements :

Preferred Qualifications :

Why Join Us?