Description

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

This role is on-site.

Responsibilities

• Design, develop, and deploy AI applications leveraging Large Language Models (LLMs) and prompt engineering.
• Implement and optimize Retrieval-Augmented Generation (RAG) architectures using vector databases.
• Fine-tune and deploy LLMs, including OpenAI and Azure services, for production-scale applications.
• Build and manage containerized AI applications using Docker and Kubernetes for reproducibility.
• Write maintainable Python code within GIT workflows, enforcing code reviews and CI/CD pipelines.

Required Skills

• 7+ years of professional software development experience.
• Strong proficiency in Python and adherence to software development lifecycle principles.
• Expertise in LLMs, including fine-tuning, prompt engineering, and deployment strategies.
• 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.
• Experience with CI/CD pipelines.

Preferred Skills

• Familiarity with SQL Server and/or Snowflake for data storage.

Key Skills

Education

Any Gradute