Description

You will own the development and maintenance of AI-powered applications.

Responsibilities

  • Maintain and improve LLM and RAG pipelines for AI applications.
  • Perform model evaluation, prompt engineering, and fine-tuning tasks.
  • Build and optimize semantic search functionality using embeddings and hybrid search.
  • Develop Python scripts for document parsing, Q&A extraction, and monitoring.
  • Follow version control (Git) and CI/CD best practices for ML projects.

Required Skills

  • 5+ years of professional experience in software engineering.
  • Expertise in Azure AI and Retrieval-Augmented Generation (RAG) NLP.
  • Proficiency with semantic search, embeddings strategy, and hybrid search implementation.
  • Experience with Prompt Flow for workflow orchestration.
  • Familiarity with Azure OpenAI, Azure AI services, and Azure Document Intelligence.
  • Hands-on experience with Databricks or MLflow for experiment tracking and lineage.
  • Competency in Python for data processing and extraction tasks.
  • Knowledge of Angular for supporting front-end search and analytics integration.
  • Familiarity with CI/CD practices and Git version control.

Key Skills
Education

Any Graduate

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