Senior Prompt Engineer - Remote LLM Systems & Tooling

Bright Vision Technologies; Naperville (IL); Remote; USD 76,000 - 99,000; Full time

Job summary

Bright Vision Technologies is seeking a Prompt Engineer to define and lead the strategy, patterns, and tooling for prompting, agent workflows, and LLM-based application architectures. The role combines hands-on mastery of modern LLMs with building scalable design patterns and developer tooling across teams.

The ideal candidate ships LLM-powered products in production, designs robust evaluation pipelines, and applies responsible AI principles while mentoring engineers and guiding technical

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, or a 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 Python skills and modern application frameworks.
• Solid understanding of responsible AI principles, including safety and policy considerations.

Responsibilities

• Define and lead strategy, patterns, and tooling for designing prompts and agentic workflows.
• Develop LLM-based application architectures across the organization.
• Build reusable design patterns and evaluation frameworks to scale across teams and use cases.
• Mentor engineers and influence technical direction.
• Ensure responsible AI practices in design and deployment.

Skills

Software engineering

Python

LLM APIs

Agent frameworks

Retrieval augmented generation

Embeddings

Evaluation pipelines

Mentoring

Communication

Education

CS/Computational Linguistics degree

Tools

Vector databases

LLM tooling

Embeddings libraries

Job description

Bright Vision Technologies is seeking a Prompt Engineer to define and lead the strategy, patterns, and tooling for prompting, agent workflows, and LLM-based application architectures. The role combines hands-on mastery of modern LLMs with building scalable design patterns and developer tooling across teams.

The ideal candidate ships LLM-powered products in production, designs robust evaluation pipelines, and applies responsible AI principles while mentoring engineers and guiding technical