Description

You will engineer and deploy AI solutions using modern LLM tooling and practices.

Responsibilities

• Design, develop, and deploy AI solutions leveraging relevant frameworks and best practices.
• Fine-tune and deploy Large Language Models (LLMs), including OpenAI and Azure services, for scalable applications.
• Implement and optimize Retrieval-Augmented Generation (RAG) architectures using vector databases.
• Write maintainable Python code, adhering to GIT workflows, code reviews, and CI/CD pipelines.
• Build and manage containerized AI applications using Docker and Kubernetes for reproducibility.

Required Skills

• 7+ years of professional experience.
• Strong proficiency in Python programming and software development lifecycle principles.
• Expertise in LLMs, including fine-tuning, prompt engineering, and deployment.
• Hands-on experience with RAG architectures and vector databases.
• Proficiency in Docker for containerization and Kubernetes for orchestration.
• Solid understanding of Azure services for AI application deployment and management.
• Familiarity with SQL Server and/or Snowflake for data storage.
• Experience with CI/CD pipelines.

Key Skills

Education

Any Gradute