
AI Engineer
2 weeks ago
Required Skills & Experience:
- Proficiency in Python and libraries relevant to AI/ML and NLP.
- Deep understanding of LLMs, including prompt tuning, fine-tuning, and deployment.
- Experience with prompt engineering best practices.
- Strong knowledge of vector databases and similarity search.
- Experience with RAG architecture design and optimization.
- Familiarity with LangChain, LangGraph, AutoGen, or similar agent frameworks.
- Working knowledge of computer vision libraries (OpenCV, Pillow, etc.).
- Experience in document processing and information extraction from unstructured data.
- Knowledge of tools like Hugging Face, Transformers, PyTorch, or TensorFlow.
Preferred Qualifications:
- Experience with LLM orchestration and tools like Flowise, LlamaIndex, or Haystack.
- Exposure to cloud platforms (AWS, Azure, GCP) and deployment tools (Docker, Kubernetes).
- Experience with data privacy and AI model governance in enterprise environments.
- Background in knowledge graphs, semantic search, or metadata-driven search pipelines.
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