Machine Learning Engineer (Generative AI)

TL;DR

Machine Learning Engineer (Generative AI): Designing and deploying production-grade Generative AI solutions utilizing LLMs and RAG with an accent on scalable AI applications and agentic frameworks. Focus on building multi-agent systems, optimizing prompt engineering, and implementing vector database architectures for enterprise-scale initiatives.

Location: Charlotte, NC (Hybrid), W2 Only

Company

hirify.global is a professional staffing firm providing technical expertise for enterprise-scale AI and software initiatives.

What you will do

• Design and deploy Generative AI solutions for text, image, and multimodal applications.
• Build LLM applications using modern AI frameworks, prompt engineering, and context-aware workflows.
• Implement RAG architectures utilizing vector databases and semantic search techniques.
• Develop agentic AI applications leveraging multi-agent frameworks and Model Context Protocol (MCP).
• Integrate AI capabilities into enterprise applications, APIs, and business workflows.
• Support MLOps initiatives to ensure reliable deployment, monitoring, and lifecycle management of AI models.

Requirements

• 5+ years of Software Engineering or Machine Learning Engineering experience.
• Strong proficiency in Python development.
• Experience with PyTorch, TensorFlow, and the Hugging Face ecosystem.
• Hands-on experience with LLMs, transformer architectures, and multi-agent AI systems.
• Knowledge of vector databases and RAG architectures.
• Employment Eligibility: W2 Only

Nice to have

• Experience with AWS SageMaker, Azure OpenAI, or Google Vertex AI.
• Proven track record implementing MLOps practices and model deployment pipelines.
• Familiarity with containerization and cloud-native architectures.
• Understanding of AI governance, security, and responsible AI practices.