AI Engineer at ShyftLabs

📋 Description

• Design and implement traditional ML and LLM-based systems and applications
• Optimize model inference performance and cost efficiency
• Fine-tune foundation models for specific use cases
• Implement diverse prompt engineering strategies
• Build robust backend infrastructure for AI-powered applications
• Implement and maintain MLOps pipelines for AI lifecycle management

🎯 Requirements

• 4–8 years of experience in LLMs, backend engineering, and MLOps
• LLM expertise
• Model fine-tuning: LoRA, QLoRA, adapters
• Inference optimization: quantization, pruning, caching
• Prompt engineering: few-shot, RAG
• Backend engineering with Python, FastAPI/Flask

🎁 Benefits

• Competitive salary
• Insurance coverage
• Learning & development resources
• Growth opportunities