Description

You architect and lead the development of enterprise-scale Generative AI applications, focusing on RAG frameworks and LLM integration.

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 to integrate AI models with data pipelines and existing systems.
• Develop Retrieval-Augmented Generation (RAG) architectures, including data ingestion, preprocessing, and retrieval mechanisms.
• Conduct model evaluation, fine-tuning, and prompt engineering to optimize LLM performance.
• Ensure compliance with cloud deployment best practices across AWS, Azure, or GCP.

Required Skills

• 10+ years of software development experience, with a focus on Python.
• Deep expertise in Generative AI, LLMs, and RAG architectures.
• Strong experience building scalable APIs using FastAPI.
• Proficiency in cloud platforms: AWS, Azure, or GCP.
• Knowledge of vector databases and retrieval pipelines.
• Experience with system architecture design for distributed applications.

Preferred Skills

• Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
• Background in DevOps practices and performance tuning.

Key Skills

Education

Bachelor's degree