GenAI Prompt Engineering

We are seeking an experienced GenAI Prompt Engineer to design, develop, test, and optimize prompts for LLM-powered chatbots, AI agents, and Retrieval-Augmented Generation (RAG) systems. The candidate will translate business requirements into reliable prompt and agent workflows while ensuring accuracy, consistency, security, and measurable performance improvements. Key Responsibilities: • Design, test, and refine prompts to maximize accuracy, relevance, and consistency. • Build evaluation frameworks, including A/B testing, benchmarking, golden datasets, and rubric-based scoring. • Apply strong knowledge of LLM behavior, context windows, tokenization, and fine-tuning versus prompting. • Collaborate with product, engineering, and data science teams to design prompt and agent workflows. • Implement prompt security and safety measures, including jailbreak prevention, bias mitigation, and guardrails. • Maintain prompt versioning, regression testing, and continuous optimization. Required Qualifications & Technical Skills: • 5+ years of experience in Software, Data, or Applied AI roles. • Minimum 1+ year of hands-on LLM prompt engineering experience in production. • Strong Python scripting and API integration experience. • Hands-on experience with GPT and Claude. • Experience with LLM orchestration tools such as LangChain. • Experience designing evaluation frameworks and improving LLM performance. • Working knowledge of RAG architectures and AI agent patterns. • Experience with tool calling and agent workflows. • Strong data analysis skills to interpret evaluation results.