Job Title

About EDMO EDMO is a pioneering AI-powered educational technology company transforming higher education through intelligent automation. We specialize in document intelligence, conversation intelligence, and agentic AI systems that streamline admissions, transfer credit evaluation, and student engagement processes for US universities. Our mission is to close the opportunity gap and create pathways for lifelong success through innovative AI solutions.Our Culture: Growth Mindset: We embrace continuous learning and rapid skill development Innovation First: We leverage cutting-edge AI and smart techniques for quality development Excellence: We insist on high standards while maintaining speed and agility Impact: We create measurable outcomes that transform educational experiencesPosition Overview We're looking for an innovative Agentic AI Developer with expertise in ReAct frameworks to build autonomous AI agents that revolutionize student services and admissions processes.Key Responsibilities Design and develop agentic AI systems using ReAct (Reasoning and Acting) frameworks Implement multi-agent systems for complex educational workflows Build and optimize LLM-powered agents for document analysis, student communication, and decision-making Develop agent orchestration systems for multi-step educational processes Integrate AI agents with existing educational technology platforms Fine-tune language models for education-specific use cases Implement agent monitoring, evaluation, and continuous learning systems Research and implement latest developments in agentic AI and autonomous systemsRequired Qualifications 3+ years of experience in AI/ML development with focus on LLMs and autonomous systemsMust have: Hands-on experience with ReAct framework or similar agentic AI patterns Strong proficiency in Python and AI/ML frameworks (LangChain, LangGraph, AutoGen, etc.) Deep understanding of LLM concepts: prompting, fine-tuning, RAG, embeddings, vector databases Experience with prompt engineering and chain-of-thought reasoning Knowledge of reinforcement learning and multi-agent systems Experience with cloud AI services (OpenAI API, Anthropic, Google AI, etc.) Strong understanding of NLP fundamentals and transformer architecturesPreferred Qualifications Experience with educational content analysis and document intelligence Knowledge of conversation AI and dialogue systems Experience with MLOps and model deployment pipelines Understanding of AI ethics, bias detection, and responsible AI practices Experience with graph databases and knowledge graphs Publications or contributions to open-source AI projects Experience with multi-modal AI systems (text, images, documents)Growth Opportunities Lead AI research and development initiatives Opportunity to work on cutting-edge Agentic AI technologies Path to AI Engineering Manager Or Chief AI Officer Role Chance to contribute to AI research papers and industry publications