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Tier-1 brand and metro location increase competition but senior specialized role limits applicant density.
Senior ML/AI skills are transferable across industries, but LLM prompt engineering with energy domain context raises specificity.
Explicit 10+ years requirement plus advanced degree and specialized LLM/ML skills makes filtering strict.
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Develop, test, and optimize prompts for Large Language Models (LLMs) across diverse business use cases and ensure integration with software applications.
Collaborate with domain experts and software developers to translate business needs into effective prompt engineering solutions and contribute to a scalable framework enabling prompt reuse across units.
Analyze user feedback and stay updated on LLM technology advancements to refine prompt effectiveness and influence strategic decisions on tools and platforms.
Master's degree or PhD in Computer Science, Engineering, Mathematics, or related field.
10+ years of relevant experience in prompt engineering or related AI/ML domains.
Proficiency in Python or similar programming languages used in AI/ML development.
Willingness to travel at least 2 weeks per year.
Holds a PhD in Computer Science, Engineering, Data Science, AI Engineering, or related discipline.
Experienced with machine learning frameworks like PyTorch and data processing libraries such as Pandas and NumPy.
Has familiarity with version control systems (Git) and prior exposure to NLP or machine learning projects, ideally with understanding of traditional industry operations.