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
