Negotiable
Outside
Remote
USA
Summary: The LLM Prompt Engineer role focuses on leveraging LLMs for specification analysis and prompt engineering to enhance data extraction and validation processes. The position requires strong skills in Python and PL/SQL, along with expertise in engineering LLM prompts. The role involves collaboration with cross-functional teams and maintaining documentation of prompt logic and testing results. This is a remote position for a duration of 6 months.
Key Responsibilities:
- Interpret specification documents using LLMs (automated, not manual).
- Convert specifications into structured requirements leveraging NLP.
- Design and implement LLM prompts for data extraction and validation.
- Configure and integrate prompts within the Platform Solutions framework.
- Conduct functional testing of LLM prompts for accuracy and compliance.
- Tune and refine prompts iteratively to achieve desired outcomes.
- Work with cross-functional teams to align requirements and solutions.
- Maintain clear documentation of prompt logic, testing results, and tuning strategies.
Key Skills:
- Python
- PL/SQL
- Strong Spec Engineering (LLM Prompts) skills
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Title: LLM Prompt Engineer
Location: Remote
Duration: 6 months
Skill set: Python, PL/SQL and Strong Spec Engineering (LLM Prompts) skills
Specification Analysis Interpret specification documents using LLMs (automated, not manual).
Convert specifications into structured requirements leveraging NLP.
Prompt Engineering Development Design and implement LLM prompts for data extraction and validation.
Configure and integrate prompts within the Platform Solutions framework.
Testing Optimization Conduct functional testing of LLM prompts for accuracy and compliance.
Tune and refine prompts iteratively to achieve desired outcomes.
Collaboration /Documentation -Work with cross-functional teams to align requirements and solutions.
Maintain clear documentation of prompt logic, testing results, and tuning strategies.