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.