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.

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GenAI Prompt Engineering