Description

You will design and implement large-scale AI systems, focusing on LLM integration, RAG architectures, and enterprise API consumption. You own the end-to-end lifecycle from model engineering to cloud deployment and observability.

Responsibilities

• Build and maintain RAG pipelines and prompt engineering frameworks using Python.
• Integrate LLMs via enterprise APIs, prioritizing Azure OpenAI.
• Develop and deploy scalable AI services on Azure cloud infrastructure.
• Implement CI/CD pipelines and monitoring tools for AI system evaluation and observability.
• Manage vector databases and MongoDB for efficient data retrieval and storage.

Required Skills

• 10+ years of overall software engineering experience with a senior-level focus on AI/ML.
• Expert-level Python development skills.
• Hands-on experience with LLMs, RAG architectures, and prompt/context engineering.
• Strong knowledge of NLP and transformer-based models.
• Experience with vector databases and/or MongoDB.
• Experience integrating LLMs via enterprise APIs (Azure OpenAI preferred).
• Proficiency with CI/CD pipelines and cloud deployment (Azure preferred).
• Experience with monitoring, observability, and evaluation of AI systems.

Preferred Skills

• Experience with agentic AI workflows and tool/function calling.
• Knowledge of Azure Machine Learning (Azure ML) and DevOps practices for AI/ML platforms.
• Proven track record of delivering AI features in cross-functional product teams.

Key Skills

Education

Any Gradute