Remote LLM Prompt Architect — Production AI

Moonfire; Charlotte (NC); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an LLM Prompt Specialist for 100% remote work to define prompts, agent workflows, and LLM-based architectures across the organization. You will craft reusable design patterns and developer tooling to scale across teams and use cases.

The ideal candidate ships LLM-powered products, masters prompt design patterns and agent architectures, and applies LLM techniques responsibly to deliver robust, production-grade solutions.

Qualifications

• Bachelor’s or Master’s degree in CS, Computational Linguistics, or related field.
• 6+ years of software engineering experience, with significant time on LLM-based applications.
• 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.
• Knowledge 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

Python programming

Communication skills

Mentoring engineers

Prompt engineering

LLM design patterns

Education

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

Tools

LLM APIs

Agent frameworks

Vector databases

Retrieval-augmented generation

Python frameworks (FastAPI/Flask)

Job description

Bright Vision Technologies is seeking an LLM Prompt Specialist for 100% remote work to define prompts, agent workflows, and LLM-based architectures across the organization. You will craft reusable design patterns and developer tooling to scale across teams and use cases.

The ideal candidate ships LLM-powered products, masters prompt design patterns and agent architectures, and applies LLM techniques responsibly to deliver robust, production-grade solutions.