About the role
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/ PhD degree in Computer Science, Engineering, Mathematics, or related field with 10+ 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 or Master’s degree 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.
Relocation Assistance Provided: Yes