Remote AI Prompt Designer & LLM Systems Architect

Bright Vision Technologies

United States

Remote

USD 90,000 - 110,000

Full time

6 days ago
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Job summary

Bright Vision Technologies is seeking an AI Prompt Designer for a remote role across the U.S. You will define and lead the strategy, patterns, and tooling for prompts, agentic workflows, and LLM-based architectures throughout the organization.

The ideal candidate ships LLM-powered products, demonstrates expertise in prompt design and agent frameworks, and applies responsible AI practices with strong judgment.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, or related field.
  • 6+ years of software engineering experience with LLM-based apps.
  • Experience shipping LLM-powered products to production.
  • Deep familiarity with modern LLM APIs and agent frameworks.
  • Strong Python skills and modern app frameworks.
  • Understanding of retrieval-augmented generation and embeddings.
  • Experience designing evaluation pipelines for non-deterministic systems.
  • Excellent written and verbal communication.
  • Mentoring engineers and influencing technical direction.

Responsibilities

  • Define and lead strategy, patterns, and tooling for prompts and workflows.
  • Architect LLM-based applications across teams.
  • Develop reusable design patterns and evaluation frameworks.
  • Mentor engineers and influence technical direction.
  • Ensure responsible AI practices and safe deployment.

Skills

Python
LLM patterns
Agent architectures
Prompt design
Communication
Mentoring
Evaluation pipelines

Education

Bachelor’s or Master’s degree in CS/Computational Linguistics

Tools

LLM APIs
Vector databases
Embeddings
Retrieval-augmented generation
Python frameworks

Job description

Bright Vision Technologies is seeking an AI Prompt Designer for a remote role across the U.S. You will define and lead the strategy, patterns, and tooling for prompts, agentic workflows, and LLM-based architectures throughout the organization.

The ideal candidate ships LLM-powered products, demonstrates expertise in prompt design and agent frameworks, and applies responsible AI practices with strong judgment.

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