AI Prompt Engineer

About Shell

Shell is a global group of energy and petrochemical companies with an extensive portfolio of products and services.

Job Summary

As the AI Engineer, you will deliver end-to-end GenAI solutions in a production scale environment. You will collaborate with Data Science and ML team to deploy reliable, distributed, real-time models to production, using existing and emerging methods and technologies that could be effectively applied to Shell use cases.

Key Responsibilities

• Propose, design, build and deploy AI/ML solutions, frameworks, automation, and orchestration to AI applications using microservices and event driven system-based practices.
• Build ML pipelines using MLOps standards for automated model deployment, model performance monitoring, data drift detection in market standard platforms like Azure Machine Learning, AWS Sagemaker or Databricks.
• Collaborate with Infrastructure, data engineering and DevOps teams to increase our deployment velocity, including the process for deploying models and data pipelines into production.
• Design high quality prompts to generate the desired output from GenAI systems.

Requirements

• Bachelor’s or master’s degree in Engineering, statistics, machine learning, or relevant areas.
• Deep knowledge of various prompting techniques and experience in Prompt development and refinement.
• Experience in developing data APIs, microservices and event driven systems to integrate ML systems.
• Experience using Machine Learning (MLOps) principles and standards.
• Development competency across a breadth of languages, frameworks, and tooling, such as Python, CoPilot, Azure.
• Strong communication skills, especially explaining technical concepts to businesspeople.
• Experience working in small, empowered, delivery focused, cross-functional teams.

Benefits

You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet.