Principal Engineer — Location, WV

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.

Advertisment

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

Advertisment

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.