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Generative AI Specialist

Bright Vision Technologies•United States•🌍 Remote
Full-time7-15
$100k - $150k
per year
👁️ 0 views•📝 0 applications•Posted 8/14/2026•Expires 10/13/2026
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Job Description

Generative AI Specialist- Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Generative AI Specialist Location: 100% Remote (U. S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years Sponsorship: U.

S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

We are looking for a Prompt Engineering Architect to define and lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures across the organization.

The role combines deep practical mastery of modern LLMs with the discipline of building reusable design patterns, evaluation frameworks, and developer tooling that scale across many teams and use cases.

The ideal candidate has shipped LLM-powered products in production, is fluent in prompt design patterns and agent architectures, and brings strong judgment about when and how to apply different LLM techniques responsibly.

Key Responsibilities

Define organization-wide standards, patterns, and reference architectures for LLM-based applications. Design prompt structures, instruction templates, and retrieval strategies for diverse production use cases. Architect agentic systems incorporating tool use, planning, memory, and multi-step reasoning.

Lead the design of retrieval-augmented generation pipelines including chunking, indexing, and reranking strategies. Develop evaluation frameworks for prompt quality, agent reliability, and end-to-end task success. Build internal tooling and libraries that accelerate LLM application development across teams.

Establish guardrails, safety fi

Required Skills

Prompt EngineeringLLM (Large Language Models)Agentic WorkflowsRetrieval-Augmented Generation (RAG)Prompt Design PatternsEvaluation FrameworksChunkingIndexingRerankingLLM Application ArchitectureTool UsePlanningMemory SystemsMulti-Step ReasoningPython

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