Agentic AI Developer
- Pune, India
نُشرت أمس
عن الوظيفة
About Us
EDMO is an AI-powered company that provides enrollment-centric solutions to universities, colleges, and higher education institutions. By streamlining repetitive tasks—such as document verification, transcript evaluation, SOP/essay reviews, and applicant matching—EDMO enables its clients to process student applications faster and more accurately. Its intelligent workflows not only reduce administrative workload but also empower admission advisors to focus on
personalized guidance and student engagement.
With features like AI-powered chatbots, Photo ID verification, GPA calculator, and transfer credit evaluation, EDMO ensures transparency and efficiency across the enrollment journey. Institutions using EDMO services report significant time savings, improved decision-making, and enhanced student satisfaction.
At its core, EDMO is built to reimagine & streamline admissions—making them smarter, quicker,
and more human-centric.
Website - https://goedmo.com/
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 experiences
Job Location - Pune Onsite
Position 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 systems
- 4+ years of experience in AI/ML development with focus on LLMs and autonomous systems
- Must have: Hands-on experience with React framework or similar agentic AI patternsStrong 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 architectures
- 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)
- 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