AI Engineering Manager

Tasks

• Apply prompt engineering for LLMs
• Build agentic frameworks
• Collaborate with engineering to align AI systems with development goals
• Deploy scalable AI services on cloud
• Design, develop, and deploy AI solutions
• Develop end to end MLOps workflows
• Implement model monitoring and performance tracing
• Implement retrieval-augmented generation and fine-tuning
• Integrate LangChain and AI frameworks

Perks/Benefits

• Access to learning paths
• Career development plans
• Company-provided equipment
• English lessons
• Flexible working options
• Learning opportunities
• Mentorship programs
• Travel opportunities to attend conferences
• Udemy Business

Skills/Tech-stack

AWS | Azure | CrewAI | Fine Tuning | Google ADK | Google Cloud | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Performance tracing | Prompt engineering | Python | Retrieval-Augmented Generation