Description

Architect and develop enterprise-scale Generative AI applications using RAG frameworks, ensuring scalability, security, and performance.

This role is remote.

Responsibilities

• Design and implement robust system architectures for AI-driven platforms.
• Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
• Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
• Ensure compliance with best practices for cloud deployment on AWS, Azure, or GCP.
• Conduct performance tuning and optimization of AI models and APIs.

Required Skills

• 9+ years of professional experience in software development and system design.
• Strong proficiency in Python and experience with FastAPI.
• Hands-on experience with Generative AI frameworks and RAG architectures.
• Solid understanding of system and architecture design principles for distributed applications.
• Experience deploying solutions on major cloud platforms (AWS, Azure, GCP).
• Familiarity with vector databases, embedding models, and retrieval pipelines.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with LLM fine-tuning, prompt engineering, and model evaluation.
• Knowledge of containerization (Docker) and orchestration (Kubernetes).
• Exposure to CI/CD pipelines and DevOps practices.

Key Skills

Education

Bachelor's degree