AI Engineering Manager

📋 Description

• Lead project delivery end to end with governance and stakeholder accountability
• Build and mentor an AI engineering team with technical standards
• Own proposals and new business initiatives, communicating risks to clients
• Define boundaries for AI systems and manage expectations
• Conduct architectural reviews to maintain high standards
• Guide design and delivery of RAG systems and LLM-powered solutions

🎯 Requirements

• 7+ years building and deploying AI solutions in production
• 2+ years of direct team leadership or technical management
• Expert Python, Git, and ML/LLM versioning/deployment
• Cloud experience: AWS, Azure, or GCP (Azure preferred); containerisation/orchestration
• Hands-on RAG experience: chunking, embeddings, retrieval, evaluation
• Proven MLOps/LLMOps with MLflow, Weights & Biases, or similar

🎁 Benefits

• Health and well-being benefits including private healthcare for senior roles
• Celebrations and recognitions perks
• Educational loans and subsidies; performance-based savings program
• Academic graduation day off; Family Day half-day off