Kyndryl

AI Context Engineer

Kyndryl

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AssemblyCloudPython

About the role

  • Build and implement automated quality assurance best practices to ensure reliability and performance of our AI systems
  • Design and develop robust context systems that determine how AI systems store, recall, and utilize information during tasks and conversations
  • Develop and maintain analytics and data models that underpin scalable and high-performing AI products
  • Integrate specialized knowledge and workflows to tailor AI interactions for industries such as IT, healthcare, or finance
  • Analyze AI system outputs and user feedback to identify areas for improvement and refine context and prompt strategies
  • Create and maintain comprehensive documentation of prompt design patterns and context engineering best practices
  • Partner with diverse teams to align context strategies with project goals and seamlessly integrate AI capabilities into products and workflows

Requirements

  • 5 to 8 years of problem-solving experience on complex systems
  • Proven track record of solving challenging problems
  • Excellent analytical, critical thinking, and problem-solving skills
  • Strong programming skills in Python with knowledge of NLP concepts
  • Experience with LLM evaluation
  • Hands-on experience in programming LLMs
  • Familiarity with zero-shot, role-playing, and chain-of-thought prompting techniques
  • Ability to collaborate effectively within cross-functional teams
  • Willingness to continuously learn and adapt in evolving AI landscape
  • Preferred: contribution to LLM-related open-source projects
  • Preferred: AI model training experiences
  • Preferred: Experience shipping LLM applications