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

Position: Senior Trainer – Artificial Intelligence & Machine Learning (RAG, Agentic AI & Deployment)
Revature is rapidly growing – both domestically and internationally – and our Team plays a key role in our Corporate Department.

We’re looking for an agile and ambitious candidate who is effective in the qualities listed below, all within a rapidly growing environment.

Our ideal candidate is based near one of our central offices located in this job posting.
*
* Job Description:

**** Experience Required****:
Minimum 4-5 years of professional experience in AI/ML, Data Science, or Applied Machine Learning.
***
* Position Summary:

** 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.
** 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
** Lang Graph**,
** CrewAI**, or
** Auto Gen
* * 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 (Sage Maker)**,
** 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**,
** Tensor Flow**, and
** Transformers (Hugging Face)**.  + Strong experience with
** LLMs**,
** prompt engineering**, and
** fine-tuning**.  + Practical understanding of
** RAG systems
** using
** Lang Chain
* * and
** vector databases** (e.g.,
** FAISS**,
** Chroma**,
** Pinecone**).  + Hands-on experience in
** agentic AI frameworks** (e.g.,
** CrewAI**,
** Auto Gen**,
** Lang Graph**, or
** Lang Chain 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…