Senior Generative AI Engineer – Enterprise LLMs & RAG

Ardor IT Solutions; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Ardor IT Solutions seeks a Senior Generative AI Developer to design and deploy enterprise-scale AI applications powered by large language models. You will lead the architecture, implement RAG workflows, and drive AI innovation across business platforms in a cross-functional setting.

The role requires deep expertise in LLM ecosystems, prompt engineering, vector databases, LangChain/LlamaIndex, and cloud-native AI development, with strong collaboration across data scientists, engineers, and

Qualifications

• 12+ years in IT/Software/AI roles.
• Hands-on with Generative AI and LLM deployments.
• Advanced Python for AI apps.
• Experience with enterprise AI platforms (OpenAI/Azure OpenAI).
• Deep prompt engineering and RAG architectures.
• Experience with LangChain/LlamaIndex and vector tech.
• Knowledge of NLP/ML/DL concepts.
• REST APIs and microservices.
• Cloud deployment on AWS/Azure/GCP.
• MLOps practices and governance.

Responsibilities

• Design, develop, and deploy production-grade Generative AI applications.
• Build LLM-powered solutions with RAG, embeddings, vector databases.
• Optimize and test prompts for quality and outcomes.
• Architect AI workflows and microservices for cloud-native deployments.
• Integrate AI services with enterprise apps, APIs, and databases.
• Lead AI projects with cross-functional teams and governance.

Skills

Python

OpenAI/Azure OpenAI

Prompt Engineering

RAG architectures

LangChain/LlamaIndex

Vector databases

MLOps

Cloud platforms

REST APIs/microservices

Enterprise AI

Security/governance

Leadership/communication

Tools

LangChain

LlamaIndex

OpenAI API

Azure OpenAI

Anthropic

Docker

Kubernetes

Job description

Ardor IT Solutions seeks a Senior Generative AI Developer to design and deploy enterprise-scale AI applications powered by large language models. You will lead the architecture, implement RAG workflows, and drive AI innovation across business platforms in a cross-functional setting.

The role requires deep expertise in LLM ecosystems, prompt engineering, vector databases, LangChain/LlamaIndex, and cloud-native AI development, with strong collaboration across data scientists, engineers, and