مهندس ذكاء اصطناعي (AI Engineer)

Job Summary

The AI Engineer at Apps Wave Information Technology will develop, integrate, and deploy AI solutions focusing on Computer Vision and Generative AI, ensuring models are production-ready and optimized for performance and cost.

Responsibilities

• Design and optimize computer vision models for detection, classification, tracking, and behavior analysis.
• Manage image and video datasets including preprocessing, labeling, cleaning, and augmentation.
• Train, fine-tune, evaluate, and improve machine learning and deep learning models.
• Integrate AI models into backend services and production pipelines.
• Optimize model inference for latency, throughput, resource use, and cost.
• Develop Generative AI and LLM-powered features such as prompting, structured outputs, and tool/function calling.
• Create agentic workflows combining LLMs, tools, retrieval, and external systems.
• Design and maintain RAG pipelines including embeddings, chunking, vector search, and context assembly.

Must haves

• 3+ years of experience in Machine Learning, Computer Vision, Applied AI, or Generative AI.
• Strong Python programming and software engineering skills.
• Experience with PyTorch, TensorFlow, or similar deep learning frameworks.
• Experience working with image/video datasets and ML data pipelines.
• Experience integrating ML models into production systems.
• Hands-on experience with LLMs, prompt engineering, structured outputs, and tool/function calling.

Nice to haves

• Experience with Docker and model deployment workflows.
• Exposure to MLOps, experiment tracking, model versioning, and monitoring.
• Experience with REST/gRPC APIs for model inference.
• Familiarity with multimodal AI, VLMs, OCR, vision-language pipelines, and LLM serving frameworks like vLLM or TGI.

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