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Strong brand and metro location, but senior and niche prompt-engineering role reduces applicant pool.
Specialized LLM and ML engineering skills make cross-industry transfers difficult.
Explicit 12–15 years requirement and deep LLM/ML expertise enforce stringent candidate filters.
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Own the development and optimization of prompts for large language models (LLMs) addressing diverse business use cases.
Collaborate with domain experts and software developers to integrate LLM-based solutions into applications and ensure high accuracy and relevance.
Develop and maintain a scalable framework for prompt engineering enabling reuse and knowledge sharing across business units.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
12-15 years of relevant work experience.
Experience with prompt engineering and familiarity with tools like OpenAI’s GPT models or Hugging Face.
Proficiency in Python or other AI/ML programming languages.
Advanced degree (PhD or Master’s) in Computer Science, Engineering, Data Science, or AI Engineering.
Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).
Familiarity with NLP or machine learning projects, version control (Git), and understanding of traditional industry operations and challenges.