AI Interaction Designer

Bright Vision Technologies•Overland Park, KS
•$140,000 - $155,000•Remote

About The Position

Bright Vision Technologies is seeking an AI Interaction Engineer to define and lead the organization’s strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures. The role combines practical expertise with modern LLMs and the development of reusable design patterns, evaluation frameworks, and developer tools that can 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 exercise sound judgment about applying LLM techniques responsibly. This is a full-time, direct W2 position that is 100% remote within the United States. The stated annual salary range is $140,000–$155,000. Bright Vision Technologies cannot sponsor new H-1B visa petitions for this position, but U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.

Requirements

  • Six or more years of software engineering experience, with significant time spent 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 prompts, 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 modern LLM techniques responsibly, using sound judgment about when and how to use them.
  • Mentor engineers and influence technical direction.
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