Description

Core Skills:

• Programming: Python
• API Development: FastAPI, scalable APIs
• Generative AI & LLMs: Generative AI, Retrieval-Augmented Generation (RAG), RAG architectures, LLMs, LLM fine-tuning, prompt engineering, model evaluation, embedding models
• Cloud Platforms: AWS, Azure, GCP
• System Architecture: system architecture design, end-to-end AI solution development, system and architecture design principles, distributed applications
• Data Engineering: vector databases, retrieval pipelines, data ingestion, data preprocessing
• DevOps & Containerization (Preferred): Docker, Kubernetes, CI/CD pipelines, DevOps practices
• Methodologies: performance tuning, optimization
• General Skills: problem-solving

Key Responsibilities:

• Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
• Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
• Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
• Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
• Conduct performance tuning and optimization of AI models and APIs.
• Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies

Key Skills

Education

Bachelor's degree