Job Description

Must Have Technical/Functional Skills

• Hands‑on experience in prompt design and optimization for LLMs
• Strong understanding of NLP concepts and generative AI behavior
• Experience evaluating and validating AI‑generated outputs
• Ability to translate functional or business requirements into precise AI instructions
• Familiarity with Python, REST APIs, or AI SDKs
• Strong written communication and technical documentation skills
  
  

Roles & Responsibilities

• Design, develop, and refine prompts to elicit reliable and high‑quality outputs from LLMs (e.g., GPT, Claude, Gemini, LLaMA)
• Apply and experiment with prompting techniques such as few‑shot prompting, chain‑of‑thought, role‑based prompts, and structured outputs
• Optimize prompt formats, structures, and parameters to improve model accuracy, consistency, and relevance
• Evaluate LLM responses for correctness, relevance, bias, hallucination, safety, and compliance with usage guidelines
• Collaborate with software engineers and data scientists to integrate prompts into applications, APIs, workflows, and automation pipelines
• Build and maintain reusable prompt libraries, templates, and best‑practice standards
• Document prompt strategies, experiments, evaluation outcomes, and optimization learnings
• Support prompt‑plus‑data approaches including Retrieval‑Augmented Generation (RAG), embeddings, and fine‑tuning where applicable
• Monitor model updates and adapt prompt strategies as model behavior evolves
• Ensure prompts and generated outputs align with ethical guidelines, responsible AI principles, and business policies
  
  

Salary Range: $100,000-$120,000 a year