Remote LLM Prompt Architect & Systems Designer

Bright Vision Technologies; Florida; Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an LLM Prompt Specialist to define and lead the strategy, patterns, and tooling for prompts, agentic workflows, and LLM-based architectures across the organization. The role emphasizes practical mastery of LLMs, reusable design patterns, evaluation frameworks, and developer tooling that scale across teams.

The ideal candidate ships LLM-powered products, excels in prompt design patterns and agent architectures, and can drive responsible AI practices and

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, or a related field.
• Six or more years of software engineering experience, with significant time on LLM-based applications.
• Demonstrated experience shipping LLM-powered products to production.
• Deep familiarity with modern LLM APIs and agent frameworks.
• Strong understanding of retrieval-augmented generation, embeddings, and vector databases.
• Experience designing evaluation pipelines for non-deterministic systems.
• Strong Python skills and comfort with modern application frameworks.
• Solid grasp of responsible AI principles, including safety and policy considerations.
• Excellent written and verbal communication skills.
• Track record of mentoring engineers and influencing technical direction.

Skills

Prompt design

Python

Agent frameworks

RAG

Embeddings

Vector databases

Evaluation pipelines

Communication

Mentoring

LLM architectures

Education

CS/Computational Linguistics degree

Tools

Python tooling

Modern app frameworks

Job description

Bright Vision Technologies is seeking an LLM Prompt Specialist to define and lead the strategy, patterns, and tooling for prompts, agentic workflows, and LLM-based architectures across the organization. The role emphasizes practical mastery of LLMs, reusable design patterns, evaluation frameworks, and developer tooling that scale across teams.

The ideal candidate ships LLM-powered products, excels in prompt design patterns and agent architectures, and can drive responsible AI practices and