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

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