Senior AI Engineer

We are seeking a highly skilled AI Engineer with strong expertise in building scalable data pipelines and AI-powered solutions. The ideal candidate will have hands-on experience with Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) integrations, and MCP servers within a cloud-native environment. This role involves working on cutting-edge AI projects to deliver innovative solutions leveraging the latest AI and data engineering technologies.

Key Skills We Are Looking For:

• Proven experience in data engineering, including designing and building ETL/ELT pipelines
• Proficiency with Apache Airflow or similar orchestration tools
• Strong expertise in Snowflake (data modeling, performance tuning, cost optimization)
• Advanced SQL skills and working knowledge of NoSQL databases
• Hands-on experience with Large Language Models (LLMs), including:
  • Retrieval-Augmented Generation (RAG) systems
  • Embeddings and vector-based retrieval techniques
  • Integrating StreamLit and GenAI models
• Experience in building or integrating MCP servers for scalable AI deployment
• Familiarity with Terraform for infrastructure as code
• Strong programming skills in Python, Flask, or similar frameworks
• Cloud experience with Azure, AWS, or Google Cloud Platform for deploying AI solutions

Responsibilities:

• Design, develop, and maintain scalable data pipelines for AI data processing and model training
• Build and optimize RAG-based systems with efficient retrieval mechanisms
• Integrate LLMs into applications and workflows, ensuring high performance and accuracy
• Collaborate with cross-functional teams to deploy AI models on cloud platforms
• Develop infrastructure automation using Terraform and other DevOps tools
• Implement best practices for data security, compliance, and cost management
• Stay up-to-date with the latest advancements in AI and data engineering to continuously improve solutions

Qualifications:

• 8+ years of experience in AI/ML engineering or related roles
• Hands-on experience with LLMs and generative AI technologies
• Proven track record of building data pipelines and orchestration workflows
• Experience with cloud platforms (Azure, AWS, Google Cloud Platform) and cloud-native AI deployment
• Strong coding skills in Python and familiarity with REST APIs
• Experience working with modern data warehouses such as Snowflake
• Knowledge of containerization and infrastructure as code tools like Terraform

Preferred:

• Contributions to open-source AI projects
• Experience with other AI frameworks and tools
• Certifications related to cloud platforms or AI/ML