Prompt Engineer, AI

Overview Design, refine, and scale prompt strategies for large language models (LLMs) and generative AI to produce accurate, reliable, and high-value AI outputs. This role involves translating business needs into prompt frameworks, experimentation, optimization, and building reusable prompt patterns while ensuring quality, safety, and ethical AI practices. Job Information Location: Los Angeles, CA (Remote) Role: AI Prompt Engineer Key Responsibilities Design and optimize prompts for LLMs and generative AI. Develop engineering frameworks and guidelines for AI use cases. Systematically test and iterate on prompts to improve performance. Build reusable prompt templates and libraries. Implement prompt chaining and multi-step reasoning. Design and optimize Retrieval-Augmented Generation (RAG) systems. Evaluate AI model outputs and implement improvement strategies. Conduct prompt injection testing and implement safeguards. Collaborate with developers for prompt integration. Monitor prompt performance and implement A/B testing. Document prompt techniques and findings. Stay current with LLM capabilities and best practices. Provide guidance on prompt engineering. Analyze failure modes and improve robustness. Implement ethical AI practices. Make decisions on prompt strategies and model selection. Qualifications 5+ years of experience in AI/ML, NLP, or software development with a focus on LLMs and generative AI; demonstrated expertise in prompt engineering. Proficiency in prompt engineering and design for LLMs (e.g., GPT, Claude, Llama). Understanding of transformer architectures and LLM language processing. Knowledge of Natural Language Processing (NLP) and computational linguistics. Experience with systematic testing and experimentation methodologies. Understanding of AI safety and responsible AI practices. Proven ability to craft high-quality, reliable AI outputs via prompts. Deep understanding of LLM capabilities, limitations, and behaviors. Experience with various prompting techniques (e.g., few-shot learning, chain-of-thought). Strong analytical and creative problem-solving skills. Proficiency in Python for prompt automation and testing. Experience with LLM APIs (e.g., OpenAI, Anthropic, Azure OpenAI). Knowledge of RAG architectures and vector databases. Understanding of fine-tuning and model customization. Familiarity with LLM evaluation frameworks and metrics. Experience with prompt management tools and platforms. Knowledge of conversational AI and chatbot design. Understanding of AI ethics, bias, and safety considerations. Education Minimum: Bachelor's degree in Computer Science, Computational Linguistics, Data Science, Artificial Intelligence, or related field. Preferred: Master's degree in AI, NLP, Computer Science, or related field; portfolio demonstrating prompt engineering projects. Certifications: AI/ML, LLM-specific, or prompt engineering certifications are valuable. Equivalent Experience: 5+ years of hands"‘on experience with LLMs and generative AI, with a proven track record in prompt engineering, may substitute for an advanced degree. Employment Type FULL_TIME #J-18808-Ljbffr

Created: 2026-04-20