Principal Engineer – AI Engineering
GE Vernova (company site, opens in a new tab)15+ yrsBengaluruOn-siteDirect career pageEst. 45–75 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Translate business needs into LLM prompts; test and refine outputs for accuracy and relevance across use cases.
- Help build a scalable prompt-engineering framework that supports reuse and knowledge sharing across business units, and integrate LLM solutions into applications with software developers.
- Use user feedback and documented outcomes to improve prompt effectiveness and inform tool and platform choices.
Minimum Requirements
- Education: Master’s degree in Computer Science, Engineering, Data Science, AI Engineering, Mathematics, or a related field.
- Work Experience Required: 15+ years of relevant experience.
- Experience with prompt engineering and familiarity with LLM tools such as OpenAI GPT models or Hugging Face; proficiency in Python or another AI/ML programming language.
- Must be willing to travel at least 2 weeks per year.
Ideal Candidate Profile
- Has experience creating reusable AI capabilities across varied business use cases and translating domain needs into solutions that can be integrated into software applications.
- Understanding of traditional industry operations may be an advantage; familiarity with ML frameworks, data-processing libraries, NLP/ML projects, or Git is also listed as beneficial.
- A PhD in a related field is listed as an ideal qualification, beyond the required Master’s degree.