Prompt Engineer Jobs

TalentProof; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

TalentProof in New York is seeking a Prompt Engineer to design and optimize prompts for AI systems and improve LLM reliability.

You will build evaluation frameworks, implement RAG pipelines, and help fine-tune models for real use cases while ensuring outputs are accurate, safe, and cost-efficient.

Qualifications

• Strong writing and analytical capabilities.
• Proficiency in Python.
• Knowledge of LLM architectures and transformers.

Responsibilities

• Design and optimize prompts for LLMs.
• Build evaluation frameworks for model outputs.
• Construct Retrieval-Augmented Generation (RAG) pipelines.
• Fine-tune models for specific use cases.
• Ensure AI outputs are accurate, safe, and cost-efficient.

Skills

Python

LLM architectures

Transformers

RAG / Vector DB

Prompt optimization

Evaluation methods

Analytical thinking

Writing skills

Tools

Vector databases

Python tooling

Job description

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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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