AI Interaction Designer

Bright Vision Technologies•Frisco, TX
•$140,000 - $155,000•Remote

About The Position

Bright Vision Technologies is seeking an AI Interaction Engineer to define and lead the strategy, patterns, and tooling for prompt design, agentic workflows, and LLM-based application architectures across the organization. The role combines practical expertise with modern LLMs and the ability to build reusable design patterns, evaluation frameworks, and developer tooling that scale across teams and use cases. The ideal candidate has shipped LLM-powered products to production, understands prompt design patterns and agent architectures, and can apply LLM techniques responsibly. This is a full-time, direct W2 position that is 100% remote in the U.S., with an annual salary range of $140,000–$155,000. Six or more years of experience are required. U.S. citizens, Green Card holders, EAD holders, and candidates seeking an H-1B transfer are encouraged to apply; the company cannot sponsor new H-1B visa petitions for this position. Bright Vision Technologies is an Equal Opportunity Employer. Its EEO commitment covers all aspects of employment and prohibits workplace harassment and discrimination.

Requirements

  • Six or more years of software engineering experience, including significant time working 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.

Nice To Haves

  • Public writing, talks, or open-source contributions on LLM application development.
  • Experience with multi-agent architectures and complex tool-use systems.
  • Familiarity with fine-tuning workflows and when to choose them over prompting.
  • Exposure to product domains such as customer support, coding assistants, or analytics agents.
  • Experience integrating LLMs into enterprise software systems with strict compliance requirements.

Responsibilities

  • Define and lead strategy, patterns, and tooling for prompt design, agentic workflows, and LLM-based application architectures across the organization.
  • Build reusable design patterns, evaluation frameworks, and developer tooling that scale across teams and use cases.
  • Apply LLM techniques with sound judgment and attention to responsible use.
  • Mentor engineers and influence technical direction.
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