Senior Trainer – Artificial Intelligence & Machine Learning (RAG, Agentic AI & Deployment)

Location: Remote, Texas, United States; training may be delivered on-site and virtually.

Company

hirify.global trains and deploys technology talent for Fortune 500 companies, government organizations, and systems integrators across the United States.

What you will do

• Deliver project-based sessions on AI, machine learning, LLMs, retrieval-augmented generation, and agentic AI.
• Mentor learners in building RAG-based chatbots, autonomous AI assistants, and deployed LLM applications.
• Teach transformer architectures, fine-tuning, prompt optimization, embeddings, vector databases, and knowledge-grounded responses.
• Guide the design and orchestration of multi-agent systems with LangGraph, CrewAI, AutoGen, or LangChain Agents, including tool integration, reasoning loops, memory, and context persistence.
• Teach AI deployment and MLOps using APIs, Docker, Kubernetes, CI/CD, model tracking, monitoring, and cloud AI services.
• Collaborate on curriculum development and keep training content current with generative AI research and tools.

Requirements

• 4–5+ years of experience in AI/ML engineering, data science, applied NLP, or MLOps.
• Proficiency in Python and AI libraries including PyTorch, TensorFlow, and Hugging Face Transformers.
• Strong experience with LLMs, prompt engineering, fine-tuning, RAG systems, LangChain, and vector databases.
• Hands-on experience with agentic AI frameworks, multi-agent orchestration, tool integration, and memory management.
• Experience deploying AI models with FastAPI, Docker, Kubernetes, cloud-native tools, and MLOps pipelines.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical discipline, plus strong communication, mentoring, and training skills.

Nice to have

• Certifications in machine learning, generative AI, or cloud AI services.
• Experience with autonomous AI agents, multi-agent ecosystems, vector search optimization, knowledge graphs, and RAG performance tuning.
• Knowledge of AI ethics, bias mitigation, and responsible AI deployment.
• Experience conducting technical workshops, bootcamps, or corporate AI training programs.

Culture & Benefits

• Full-time position within a rapidly growing technology organization.
• Opportunity to guide professionals through hands-on AI and MLOps implementations.
• Training delivery can combine virtual and on-site sessions.
• Work supporting diverse candidates from varied educational and professional backgrounds.