{"id":1775197,"url":"https://alion.io/job/revature-senior-trainer-artificial-intelligence-machine-learning-rag-agentic-ai-deployment","title":"Senior Trainer – Artificial Intelligence & Machine Learning (RAG, Agentic AI & Deployment)","company":{"id":2246673,"name":"Revature","domain":"revature.com","url":"https://alion.io/company/revature-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-19T05:45:15Z"}},"role":"HR","role_family":"HR","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":177000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":422},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false},{"name":"Transformers","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weights & Biases","optional":false},{"name":"Knowledge Graph","optional":true}],"status":"live","first_seen_at":"2025-12-18T00:00:00Z","employer_posted_date":"2025-12-18","last_verified_at":"2026-10-19T02:47:48Z","board_verified":true,"closed_at":null,"days_open":305,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":305},"description":"Revature is rapidly growing - both domestically and internationally - and our Team plays a key role in our Corporate Department.\nWe’re looking for an agile and ambitious candidate who is effective in the qualities listed below, all within a rapidly growing environment.\nOur ideal candidate is based near one of our central offices located in this job posting.\nJob Description:\nExperience Required: Minimum 4-5 years of professional experience in AI/ML, Data Science, or Applied Machine Learning.\n Position Summary:\nWe 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.\nThe 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.\nKey Responsibilities\nDeliver engaging, project-based sessions on advanced topics in AI, LLMs, and agentic AI development.\nTrain and mentor learners on:Core AI/ML concepts: supervised & unsupervised learning, deep learning, and NLP.\n Large Language Models (LLMs): transformer architecture, fine-tuning, and prompt optimization\n Retrieval-Augmented Generation (RAG): vector databases, document retrieval, embeddings, and knowledge-grounded responses.\nAgentic AI Systems:Designing and orchestrating AI agents capable of autonomous decision-making\nUsing LangGraph, CrewAI, or AutoGen for multi-agent frameworks\nIntegrating external tools, APIs, and reasoning loops for dynamic task execution\nUnderstanding memory management, context persistence, and tool use in agent frameworks\n\nAI Deployment & MLOps:Building scalable APIs with FastAPI or Flask\nModel packaging and orchestration with Docker, Kubernetes, and CI/CD pipelines\nModel tracking, experimentation, and monitoring with MLflow, Weights & Biases, or Vertex AI Pipelines.\n\nCloud AI Integration: deploying and managing systems on AWS (SageMaker), Azure ML, or GCP Vertex AI.\n\nLead hands-on projects where learners build RAG-based chatbots, autonomous AI assistants, and deployed LLM applications.\nCollaborate on curriculum development to integrate cutting-edge AI research and tools into the training modules.\nMentor learners through technical challenges, performance optimization, and model deployment.\nKeep up to date with LLM, agentic AI, and generative AI innovations to ensure curriculum relevance.\nRequired Skills & Qualifications\nExperience: 4 to 5+ years in AI/ML engineering, Data Science, Applied NLP, or MLOps roles.\nTechnical Expertise:Proficiency in Python and AI libraries such as PyTorch, TensorFlow, and Transformers (Hugging Face).\nStrong experience with LLMs, prompt engineering, and fine-tuning.\nPractical understanding of RAG systems using LangChain and vector databases (e.g., FAISS, Chroma, Pinecone).\nHands-on experience in agentic AI frameworks (e.g., CrewAI, AutoGen, LangGraph, or LangChain Agents).\nKnowledge of tool integration, memory management, and multi-agent orchestration.\nExperience deploying AI models with FastAPI, Docker, Kubernetes, or cloud-native tools.\nFamiliarity with MLOps pipelines, CI/CD automation, and monitoring frameworks.\nExposure to Generative AI APIs such as OpenAI, Anthropic Claude, Google Gemini, or Azure OpenAI.\n\nEducation: Bachelor’s or Master’s degree in Computer Science, Data Science, or Artificial Intelligence or similar technical discipline.\nExcellent communication, mentoring, and technical training skills.\nProven experience conducting technical workshops, bootcamps, or corporate AI training programs preferred.\nReady to deliver on-site and virtual training.\nPreferred Skills/Attributes\nCertifications in Machine Learning, Generative AI, or Cloud AI services.\nExperience developing autonomous AI agents and multi-agent ecosystems.\nWorking knowledge of vector search optimization, knowledge graph integration, and RAG performance tuning.\nUnderstanding of AI ethics, bias mitigation, and responsible AI deployment.\nEnthusiasm for teaching and guiding professionals through hands-on AI and MLOps implementations.\nWho We Are\nRevature is a tech career launch pad and the largest employer of entry-level technology talent in the U.S. The company works with Fortune 500 companies, government organizations, and top systems integrators to grow their business by hiring, training, and deploying top tech talent.\nOur mission is to create a pathway for candidates from diverse experiences and educational backgrounds to reach their potential as technology professionals. Alumni of the Revature program work on innovative, challenging, and rewarding software development projects across the United States.\nRevature has trained over 7000 software engineers across 54 technical disciplines, recruited talent from 700 universities, and deployed them to blue-chip companies throughout the U.S. We have proudly committed to training 1 million developers over the next decade, helping to close the opportunity gap in tech and supporting the future of work.\nRevature is an Equal Opportunity/AffirmativeAction Employer. 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