Job Description

About the Role:

We are seeking a passionate and technically strong Senior Trainer - Artificial Intelligence & Machine Learning to deliver our advanced AI curriculum focused on LLMs, Retrieval-Augmented Generation (RAG), Agentic AI, and end-to-end deployment.

The ideal candidate will have a deep understanding of modern AI architectures and the ability to mentor learners in building autonomous, production-grade AI systems - integrating retrieval pipelines, intelligent agents, and deployment workflows across real-world scenarios

About Revature:

Revature is one of the largest and fastest-growing employers of technology talent across the U.S., partnering with Fortune 500 companies, leading System Integrators, and Government Contractors to identify experienced professionals who can be effective leaders.

Key Responsibilities

• Deliver engaging, project-based sessions on advanced topics in AI, LLMs, and agentic AI development .
• Train and mentor learners on:
• Core AI/ML concepts: supervised & unsupervised learning, deep learning, and NLP.
• Large Language Models (LLMs): transformer architecture, fine-tuning, and prompt optimization
• Retrieval-Augmented Generation (RAG): vector databases, document retrieval, embeddings, and knowledge-grounded responses.
• Agentic AI Systems:
• Designing and orchestrating AI agents capable of autonomous decision-making
• Using LangGraph , CrewAI , or AutoGen for multi-agent frameworks
• Integrating external tools, APIs, and reasoning loops for dynamic task execution
• Understanding memory management , context persistence , and tool use in agent frameworks
• AI Deployment & MLOps:
• Building scalable APIs with FastAPI or Flask
• Model packaging and orchestration with Docker , Kubernetes , and CI/CD pipelines
• Model tracking, experimentation, and monitoring with MLflow , Weights & Biases , or Vertex AI Pipelines.
• Cloud AI Integration: deploying and managing systems on AWS (SageMaker) , Azure ML , or GCP Vertex AI.
• Lead hands-on projects where learners build RAG-based chatbots , autonomous AI assistants , and deployed LLM applications .
• Collaborate on curriculum development to integrate cutting-edge AI research and tools into the training modules.
• Mentor learners through technical challenges, performance optimization, and model deployment.
• Keep up to date with LLM , agentic AI , and generative AI innovations to ensure curriculum relevance.

Required Skills & Qualifications

• Experience: 4 to 5+ years in AI/ML engineering , Data Science , Applied NLP , or MLOps roles.

Technical Expertise:

• Proficiency in Python and AI libraries such as PyTorch , TensorFlow , and Transformers (Hugging Face) .
• Strong experience with LLMs , prompt engineering , and fine-tuning .
• Practical understanding of RAG systems using LangChain and vector databases (e.g., FAISS , Chroma , Pinecone ).
• Hands-on experience in agentic AI frameworks (e.g., CrewAI , AutoGen , LangGraph , or LangChain Agents ).
• Knowledge of tool integration , memory management , and multi-agent orchestration .
• Experience deploying AI models with FastAPI , Docker , Kubernetes , or cloud-native tools .
• Familiarity with MLOps pipelines , CI/CD automation , and monitoring frameworks .
• Exposure to Generative AI APIs such as OpenAI , Anthropic Claude , Google Gemini , or Azure OpenAI .

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Artificial Intelligence or similar technical discipline.
• Excellent communication, mentoring, and technical training skills.
• Proven experience conducting technical workshops , bootcamps , or corporate AI training programs preferred.
• Ready to deliver on-site and virtual training .

Preferred Skills/Attributes:

• Certifications in Machine Learning , Generative AI , or Cloud AI services .
• Experience developing autonomous AI agents and multi-agent ecosystems .
• Working knowledge of vector search optimization , knowledge graph integration , and RAG performance tuning .
• Understanding of AI ethics, bias mitigation , and responsible AI deployment .
• Enthusiasm for teaching and guiding professionals through hands-on AI and MLOps implementations .

Equal Opportunity Employer :

Revature (“Company”) is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity, national origin, disability, age, genetic information, marital status, veteran status, or any other status protected under applicable federal, state, or local laws. This policy applies to all terms and conditions of employment, including but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, benefits, compensation, and training. If you require accommodation to work, based on any of these protected factors, please notify the Human Resources Department, and the Company will evaluate the request and provide accommodation in accordance with applicable law.

We seek to comply with all applicable federal, state, and local laws related to discrimination and will not tolerate interference with the ability of any of the Company's employees to perform their job duties. Our policy reflects and affirms the Company's commitment to the principles of fair employment and the elimination of all discriminatory practices.

Note: Work authorization in the country you are applying to is required. Revature does not sponsor work visas

Job Tags

Similar Jobs