Principal Engineer

Saur Energy International; West Virginia; On-site; USD 110,000 - 190,000; Full time

Job summary

Saur Energy International seeks a senior Prompt Engineer to translate business needs into effective LLM prompts and to develop, test, and refine prompts for multiple use cases. You will collaborate with software teams to integrate LLM solutions and help build a scalable prompt engineering framework across units.

The role requires advanced AI tooling experience, strong Python skills, and excellent communication. Willingness to travel is expected.

Qualifications

• Master’s degree with 15+ years of relevant experience.
• Experience with prompt engineering and AI tooling (GPT models, Hugging Face).
• Proficiency in Python or other programming languages used in AI/ML development.
• Strong problem solving and attention to detail.

Responsibilities

• Collaborate with domain experts to translate business needs into prompts.
• Develop, test, and refine prompts for various use cases.
• Work with developers to integrate LLM solutions into applications.
• Contribute to a scalable prompt engineering framework.

Skills

Problem solving

Communication

Team collaboration

Travel willingness

Education

Master’s degree in Computer Science / Engineering / Data Science / AI Engineering / Mathematics

PhD in Computer Science / Engineering / Data Science / AI Engineering (preferred)

Tools

OpenAI GPT models

Hugging Face

Python

PyTorch

Pandas

NumPy

Git

Job description

• 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.

Qualifications/Requirements

• 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

Ideal Candidate Characteristics

• 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.