Prompt Engineer

Job Description:
We are seeking a Prompt Engineer with expertise in creating, refining, and optimizing natural language prompts for large language models (LLMs).

Key Responsibilities:
Prompt Development and Optimization Design and develop effective prompts to guide LLM behavior and responses for specific use cases.
Experiment with various prompt formats and structures to improve model performance.
Analyze and optimize prompts for accuracy, consistency, and relevance across diverse scenarios.
Model Tuning and Customization
Collaborate with machine learning engineers to fine-tune LLMs using tailored datasets and prompts.
Develop prompt templates for domain-specific applications, ensuring they align with business objectives.
Validate and evaluate model outputs to refine prompt effectiveness.
Collaboration and Use Case Development
Work with cross-functional teams to understand requirements for specific AI-powered features or applications.
Translate business needs into actionable tasks by designing context-aware prompts.
Provide guidance on integrating prompt engineering into broader AI development pipelines.

Experimentation and Evaluation
Conduct A/B testing and experiments to measure the impact of different prompt strategies.
Use tools like
OpenAI API, LangChain, or similar frameworks to implement and test prompts.
Collect feedback on model responses to iteratively improve prompt quality.
Documentation and Knowledge Sharing
Document prompt engineering techniques, experiments, and best practices.
Share findings and insights with stakeholders to inform AI strategies.
Provide training or workshops on prompt engineering for internal teams.

Key Qualifications:
Technical Expertise
Strong understanding of large language models (LLMs) and their applications (e.g., GPT, Bard, Claude).
Hands-on experience with APIs and frameworks like
OpenAI, LangChain, or similar.
Familiarity with programming languages such as
Python for LLM integration and testing.
Proficiency in natural language processing (NLP) concepts and techniques.
Problem Solving and Creativity
Ability to design creative and effective prompts to solve complex problems.
Skilled in identifying edge cases and improving model responses.
Analytical mindset for evaluating and iterating on prompt performance.