Remote LLM Prompt Architect

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

Job summary

Bright Vision Technologies is seeking an LLM Prompt Specialist to define and lead prompt design, agentic workflows, and LLM-based architectures across the organization. You will craft reusable patterns, evaluation frameworks, and developer tooling to scale AI initiatives in a remote, US-based environment.

The ideal candidate has shipped production-grade LLM-powered products, deep knowledge of prompt design, and strong judgment on responsible AI practices, with a track record mentoring engineers.

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

Python programming

LLM APIs

Agent frameworks

Prompt design patterns

Evaluation pipelines

Communication skills

Mentoring engineers

Education

Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, or a related field

Tools

Vector databases

Embeddings

Retrieval-augmented generation tooling

Job description

Bright Vision Technologies is seeking an LLM Prompt Specialist to define and lead prompt design, agentic workflows, and LLM-based architectures across the organization. You will craft reusable patterns, evaluation frameworks, and developer tooling to scale AI initiatives in a remote, US-based environment.

The ideal candidate has shipped production-grade LLM-powered products, deep knowledge of prompt design, and strong judgment on responsible AI practices, with a track record mentoring engineers.