AI Interaction Designer

Bright Vision Technologies•Wildwood, MO
•$140,000 - $155,000•Remote

About The Position

Bright Vision Technologies is seeking an AI Interaction Engineer to define and lead organization-wide strategies, patterns, and tooling for prompt design, agentic workflows, and LLM-based application architectures. The role combines practical mastery of modern LLMs with 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 exercises sound judgment in applying LLM techniques responsibly. This is a full-time, direct W2 position that is 100% remote within the United States. The listed salary range is $140,000–$155,000 annually. The employer cannot sponsor new H-1B petitions; 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.
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