AI Engineer

QIC digital hub

• LLM Development: Build chatbots, RAG systems, and automated document processing pipelines.
• Computer Vision: Implement OCR for insurance documents, damage assessment from photos, and identity verification.
• Speech AI: Develop transcription, voice analytics, and multilingual support solutions.
• AI Infrastructure: Deploy and monitor AI models, integrate with cloud AI services.
• Product Integration: Embed AI into business workflows, create AI APIs, and design user-friendly AI-powered experiences.

• 3+ years of experience in AI/ML engineering with a focus on production systems
• Strong Python skills (advanced) + experience with FastAPI/Flask for API development
• Hands-on experience with LLM tools: OpenAI API, LangChain, Hugging Face Transformers
• Computer Vision expertise: OpenCV, PIL, YOLO, Detectron2 (or similar)
• Deep learning frameworks: PyTorch or TensorFlow for fine-tuning models
• Cloud experience: AWS / Azure / GCP AI services
• Docker & Kubernetes for AI application containerization and orchestration

Core AI/ML Competencies

• Prompt Engineering designing effective prompts for LLMs
• Fine-tuning adapting pre-trained models to business tasks
• RAG (Retrieval-Augmented Generation) working with vector DBs and embeddings
• Computer Vision Pipelines from preprocessing to inference
• Model Optimization quantization, pruning, ONNX for faster inference
• Multimodal AI building solutions that combine text + images