AI Engineer

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 .