Prompt Engineers craft the instructions that make AI systems useful — designing system prompts, building RAG pipelines, evaluating model outputs, and optimizing for accuracy, safety, and cost. It's one of the fastest-growing roles in tech.
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Ritually
Ritually
This is a founding applied-AI role. You'll be building our core data pipeline and intelligence layer with the founding team from 0-1. You'll be tackling our largest technical challenges across technologies.
We are hiring in NYC, Denver, Bangalore, Hyderabad, or Mumbai.
Nice to have
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Ritually
Enzigma
TalentProof
TalentProof
TalentProof
Ritually
This is a founding full-stack role. You'll be building our application with the founding team from 0-1. You'll own features and infra end to end and across technologies. You'll also own how we build: ensuring our AI development workflow is fast, dependable and secure.
We are hiring in NYC, Denver, Bangalore, Hyderabad, or Mumbai.
Nice to have
Get assessed in these skills to stand out when applying for prompt engineer jobs
Prompt Engineers design and optimize prompts for LLMs, build evaluation frameworks, construct RAG (Retrieval-Augmented Generation) pipelines, fine-tune models for specific use cases, and ensure AI outputs are accurate, safe, and cost-effective.
Absolutely. As companies integrate LLMs into products, demand for engineers who understand prompt design, model evaluation, and AI system architecture has grown significantly. The role is evolving from pure prompting into broader AI application engineering.
Strong writing and analytical skills, Python programming, understanding of LLM architectures (transformers, attention), RAG/vector database experience, prompt optimization techniques (few-shot, chain-of-thought), and evaluation methodology.
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