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AI Interaction Designer

Bright Vision Technologies ๐Ÿ‡บ๐Ÿ‡ธ Richardson, Texas, United States of America

$140,000 - $155,000 Full-time Senior

Define organization-wide standards and reference architectures for LLM-based applications and agentic systems. Lead the design of RAG pipelines, evaluation frameworks, and internal tooling to accelerate AI development.

Responsibilities

  • Define organization-wide standards and reference architectures for LLM-based applications and agentic systems. Lead the design of RAG pipelines, evaluation frameworks, and internal tooling to accelerate AI development.

Requirements

  • Requires a Bachelor's or Master's degree in Computer Science or a related field with 6+ years of software engineering experience. Candidates must have a proven track record of shipping LLM-powered products to production and deep familiarity with modern LLM APIs.

Key Skills

AI interaction design LLM-based applications RAG pipelines evaluation frameworks internal tooling software engineering modern LLM APIs Agile cross-functional collaboration

About Bright Vision Technologies

Bright Vision Technologies is a minority-owned, product-focused AI technology company headquartered in Bridgewater, New Jersey. Founded in July 2020, we are a pure-play product engineering firm dedicated to transforming the staffing and enterprise automation industries through our flagship platform โ€” Lumina. Lumina is an advanced AI-powered talent intelligence and enterprise automation platform that integrates artificial intelligence, hybrid cloud, and blockchain technologies to revolutionize how organizations source talent and automate complex workflows. What Lumina delivers: - AI-driven candidate sourcing, semantic resume matching, and intelligent ranking - Generative AI and Large Language Model orchestration with LangChain and RAG-based architecture - Automated recruiter assistant and workflow automation - Blockchain-enabled credential verification and tamper-proof digital identity - Advanced optimization for talent supply chain, workforce planning, and resource allocation - Ente

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