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Conversational AI Engineer

Bright Vision Technologies•United States•🌍 Remote
Full-time15+
$130k - $180k
per year
👁️ 0 views•📝 0 applications•Posted 9/28/2026•Expires 11/27/2026
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Job Description

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 Conversational AI Engineer Location: Remote (U. S.) Position Type: Full-time, Direct W2 Salary Range: $130,000–$180,000 Annually (based on experience) Experience Required: 10+ 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

Bright Vision Technologies is seeking a highly experienced Conversational AI Engineer with 10+ years of software engineering experience , including extensive expertise in Large Language Models (LLMs), agentic AI, and enterprise AI application development.

The ideal candidate will define and lead the strategy, architecture, and engineering best practices for designing intelligent conversational systems, prompt engineering frameworks, and AI-powered applications.

This role combines deep technical expertise in modern LLMs with the ability to build reusable AI platforms, evaluation frameworks, and developer tooling that enable scalable, secure, and production-ready conversational AI solutions.

Key Responsibilities

Design, develop, and deploy enterprise-scale conversational AI applications powered by Large Language Models (LLMs). Define prompt engineering standards, reusable prompt libraries, and best practices for enterprise AI development.

Architect and implement agentic AI workflows, multi-agent systems, tool orchestration, and Retrieval-Augmented Generation (RAG) solutions. Build scalable evaluation frameworks for prompt quality, hallucination detection, response accuracy, latency, and user experience.

Develop reusable SDKs, APIs, and developer tooling that accelerate AI application development a

Required Skills

Large Language Modelsagentic AIenterprise AI application developmentprompt engineeringAI platformsevaluation frameworksdeveloper toolingconversational AI applicationsmulti-agent systemstool orchestrationRetrieval-Augmented GenerationSDKsAPIs

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