AI Engineering Manager

📋 Description

• Design, develop, and deploy scalable AI solutions.
• Implement Retrieval-Augmented Generation (RAG) and fine-tuning.
• Utilize frameworks like LangChain, CrewAI, and Google ADK.
• Apply advanced prompt engineering for LLMs.
• Build end-to-end AI/ML workflows with MLOps practices.
• Monitor AI apps and provide performance tracing.

🎯 Requirements

• Cloud AI services (Azure, AWS, Google Cloud).
• Strong ML concepts and AI fundamentals.
• MLOps tools and practices (deployment, monitoring).
• Proficient in Python or other languages.
• Excellent problem-solving and collaboration.
• English written and verbal communication.

🎁 Benefits

• Certifications in AWS, Databricks, Snowflake.
• Udemy Business access for courses.
• Mentorship and career development plans.
• Company-provided equipment.
• Flexible working options.
• Travel to industry conferences.