Conversational AI Engineer

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.

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.

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.

• 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 across engineering teams.
• Collaborate with product managers, AI researchers, software engineers, and business stakeholders to deliver production-ready AI solutions.
• Implement AI safety, Responsible AI, security, compliance, guardrails, and governance practices for enterprise deployments.
• Optimize LLM performance, inference efficiency, prompt execution, caching strategies, and operational scalability.
• Mentor engineers and establish engineering standards for conversational AI architecture, testing, deployment, and monitoring.
• Evaluate emerging LLMs, agent frameworks, and AI technologies to drive innovation and continuous platform improvement.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related technical discipline.
• 10+ years of professional software engineering experience
  , including significant experience building and deploying LLM-powered applications.
• Proven track record of delivering enterprise-scale conversational AI or LLM-based products in production.
• Deep expertise with modern LLM APIs and models such as OpenAI GPT, Anthropic Claude, Google Gemini, Llama, or Mistral
  .
• Strong experience with agent frameworks such as Lang Chain, Lang Graph, Llama Index, Semantic Kernel, CrewAI, or Auto Gen
  .
• Strong programming skills in Python and experience building scalable backend services and APIs.
• Experience implementing Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and AI orchestration pipelines.
• Strong understanding of AI evaluation, model monitoring, observability, Responsible AI, and enterprise AI governance.
• Excellent communication, collaboration, analytical, and technical leadership skills.