Description

You will lead the design and implementation of advanced Generative AI solutions.

Responsibilities

  • Develop and optimize LLM-based solutions using prompt engineering, RAG, and agent architectures.
  • Maintain high-quality, scalable codebases in Python and SQL, focusing on reusable components.
  • Deploy GenAI applications on Azure, GCP, or AWS, managing CI/CD processes.
  • Collaborate with product owners and SMEs to translate requirements into impactful AI products.
  • Provide technical leadership and mentor the engineering team on LLM development best practices.

Required Skills

  • 10+ years of professional experience building Machine Learning models and systems.
  • 3+ years of hands-on experience with LLMs and Generative AI techniques (prompt engineering, RAG, agents).
  • Expert proficiency in Python, LangChain/LangGraph, and SQL.
  • Demonstrable understanding of Azure, GCP, or AWS cloud services for GenAI application building.
  • Experience with CI/CD pipelines.
  • Bachelor's degree required.
  • Excellent communication skills for collaborating with business SMEs.

Key Skills
Education

Bachelor's degree

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