Description

Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.

This role is on-site.

Responsibilities

• Design and implement scalable system architectures for AI-driven platforms, ensuring security and performance.
• 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.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Conduct performance tuning and optimization of AI models and APIs.

Required Skills

• 8+ years of professional experience in software development and system design.
• Strong proficiency in Python and experience with FastAPI for API development.
• 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, or GCP).
• Familiarity with vector databases, embedding models, and retrieval pipelines.

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