Senior AI Prompt Architect — Remote, LLM Design & Tooling

Bright Vision Technologies; Foster City (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Prompt Designer to define and lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures across the organization. The role combines deep practical mastery of modern LLMs with the discipline of building reusable design patterns, evaluation frameworks, and developer tooling that scale across teams.

The ideal candidate has shipped LLM-powered products, is fluent in prompt design patterns and

Qualifications

• Bachelor's or Master's degree in CS, computational linguistics, or a related field.
• 6+ years of software engineering, 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 and safety considerations.
• Excellent written and verbal communication; mentoring of engineers.

Responsibilities

• Define and lead the strategy, patterns, and tooling for prompts and agentic workflows.
• Architect LLM-based application architectures across the organization.
• Build reusable design patterns and developer tooling for scale.

Skills

Python

Communication

Mentoring

LLM APIs

Agent frameworks

Evaluation pipelines

Retrieval augmented generation

Embeddings

Vector databases

Education

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

Tools

Vector databases

Embeddings tooling

Python web frameworks

Job description

Bright Vision Technologies is seeking an AI Prompt Designer to define and lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures across the organization. The role combines deep practical mastery of modern LLMs with the discipline of building reusable design patterns, evaluation frameworks, and developer tooling that scale across teams.

The ideal candidate has shipped LLM-powered products, is fluent in prompt design patterns and