> Markdown version of [/jobs/ext/3659902-generative-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3659902-generative-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Generative AI Engineer

- **Company:** Vsg Business Solutions
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Performance Tuning, OpenAI, Software Engineering, Enterprise Search, Software Organization, Enterprise Application Integration, Pinecone, Data Processing, Google Cloud, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Google Vertex AI, Model Validation, Software Troubleshooting, Software Application Programming, Llamaindex, Generative AI, Kubernetes, Weaviate, Data Management, Machine Learning Operations, FAISS, Restful APIs, Docker, Microservices
- **Published:** October 9, 2026
- **Apply:** https://www.careerjet.com/jobad/usfe833ef66e363aba1b7cad4d711d3f7c

## About the Role

We are seeking an experienced Generative AI Engineer with 10+ years of overall software engineering experience to join our team in Charlotte, NC. The ideal candidate will have strong hands-on experience building and deploying AI/ML solutions, with a particular focus on Generative AI, Large Language Models (LLMs), prompt engineering, and AI-powered applications., * 10+ years of software engineering / technology experience.

 * Strong hands-on experience with Generative AI and LLM-based applications.
 * Proficiency in Python and modern software development practices.
 * Experience with frameworks such as LangChain, LlamaIndex, or similar GenAI frameworks.
 * Strong understanding of RAG, vector databases, embeddings, prompt engineering, and LLM orchestration.
 * Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
 * Experience with REST APIs, microservices, and enterprise application integration.
 * Knowledge of machine learning concepts and AI model lifecycle management.
 * Experience with databases and data processing technologies.
 * Strong troubleshooting, analytical, and problem-solving skills.
 * Excellent communication and collaboration skills.

Preferred Qualifications

 * Experience with Azure OpenAI, OpenAI APIs, AWS Bedrock, Google Vertex AI, or similar platforms.
 * Experience with vector databases such as Pinecone, FAISS, Weaviate, or Azure AI Search.
 * Knowledge of Docker, Kubernetes, CI/CD, and MLOps/LLMOps.
 * Experience implementing AI governance, security, privacy, and responsible AI practices.
 * Experience with fine-tuning or adapting foundation models for enterprise use cases.

## Description

The candidate will work closely with engineering, product, and data teams to design scalable AI solutions and integrate modern GenAI capabilities into enterprise applications. Key Responsibilities

 * Design, develop, and deploy Generative AI and machine learning solutions for enterprise use cases.
 * Build applications leveraging LLMs, RAG (Retrieval-Augmented Generation), embeddings, vector databases, and prompt engineering.
 * Develop and optimize AI/ML pipelines and production-grade AI services.
 * Integrate GenAI capabilities with existing enterprise applications, APIs, and data platforms.
 * Evaluate and select appropriate AI models, frameworks, and tools based on business requirements.
 * Implement techniques for model evaluation, fine-tuning, grounding, and performance optimization.
 * Develop scalable and reliable AI solutions using cloud platforms and modern engineering practices.
 * Collaborate with data scientists, software engineers, architects, and business stakeholders.
 * Ensure AI solutions meet requirements for security, scalability, performance, and responsible AI.
 * Stay current with emerging developments in Generative AI, LLMs, and AI engineering.