Prompt Engineer Jobs — Shape How AI Thinks

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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.

6 open positions$110,000 – $190,000/yr

All Open Positions

We don’t have exact prompt engineer jobs right now, but these positions use similar skills. Click any to see details, compare your resume, and apply.

B2B Lead Generation Specialist

TalentProof

remote
3336ad6bfd308c605c5ec7d83055c5d9:24512939d0258c1b53370303afd1195f666f3f1cee1d69289423afd68455ede5
part-time

UX/UI Designer with Visual Experience

TalentProof

remote
full-time

Chief Revenue Officer (CRO)

TalentProof

remote
0145b703b96dbc37385c8d941e0b85a2:188f0934bb8262deb2160a7e3a09721b
part-time

Community Beta Tester (Volunteer)

TalentProof

remote
c5fcf67b911408890a0853f0cdea5e6c:83df35744d7f6b0ce07b9b72fcb8b3f3e08290827b309d45caf370b0397309d4
contributor

Founding Head of People & Culture

TalentProof

remote
full-time

Founding Growth Marketer, (B2B SaaS)

TalentProof

remote
aefa5e97df67b76b5a4f61e2f3f8928a:c8ad4678044d57519e2587aea34fa484
full-time

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Frequently Asked Questions

What does a Prompt Engineer actually do?

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.

Is Prompt Engineering a real career in 2026?

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.

What skills do Prompt Engineers need?

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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