Senior Principal Engineer – AI Engineering

GE Vernova

. Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts .

Posted 11/11/2026full-timeBengaluru • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in prompt engineering and LLM technology, with a strong foundation in Python and machine learning frameworks. Capable of translating complex business needs into effective LLM prompts while collaborating with cross-functional teams.

Highest-signal resume keywords

Prompt EngineeringPython ProgrammingMachine Learning FrameworksExcellent Communication SkillsCollaboration in Team Environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Prompt EngineeringPython ProgrammingMachine Learning FrameworksData Processing LibrariesNLP ExperienceProblem-Solving SkillsAttention to DetailVersion Control SystemsStatistical AnalysisAlgorithm Development

Soft Skills

Excellent Communication SkillsAdaptabilityTeam CollaborationUser Feedback AnalysisStrategic Decision-Making

Tools & Technologies

OpenAI GPT ModelsHugging FacePyTorchPandasNumPyGit

Certifications & Qualifications

Master's Degree in Computer SciencePhD in Computer Science

Industry Keywords

AI EngineeringData ScienceMachine LearningNatural Language ProcessingBusiness Needs Analysis

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorch

About the role

Key responsibilities & impact

Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts
Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs
Work closely with software developers to integrate LLM solutions into existing or new applications
Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units
Assist in gathering and analyzing user feedback to continually improve prompt effectiveness
Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection
Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base

Requirements

What you’ll need

Master’s degree in Computer Science, Engineering, Data Science, AI Engineering, Mathematics, or related field with 15+ years' relevant experience
Experience with prompt engineering and familiarity with tools such as OpenAI’s GPT models, Hugging Face, etc.
Proficiency in Python or other programming languages commonly used in AI/ML development
Strong problem-solving skills and attention to detail
Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Ability to work collaboratively in a team environment and adapt to changing project requirements
Candidate must be willing to travel a minimum of 2 weeks per year
PhD in Computer Science, Engineering, Data Science, AI Engineering, or related field
Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy)
Previous experience or internships involving NLP or machine learning projects
Familiarity with version control systems like Git
Understanding of traditional industry operations and challenges

Benefits

Comp & perks

Relocation Assistance Provided: Yes