AI Research & Development Engineer (EdTech Focus)

The PositionWe're seeking an AI specialist to join our multidisciplinary team in developing cutting-edge AI solutions for education. The role focuses on fine-tuning and implementing AI models that enhance learning and teaching effectiveness through our educational platforms.Key ResponsibilitiesAI Solution Design: Conceptualize and develop innovative AI solutions tailored for educational applications, enhancing learning and teaching experiences.LLM Fine-Tuning: Customize and fine-tune Large Language Models to address specific educational use cases, ensuring relevance and effectiveness.RAG & Knowledge Systems: Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines using structured and unstructured educational content to improve factual accuracy and contextual relevance.Agentic AI Systems: Design, implement, and evaluate AI agent–based architectures (multi-agent systems, tool-using agents, autonomous workflows) for complex educational tasks.Model Context & Tool Integration: Implement and manage Model Context Protocol (MCP)–based integrations to enable secure, scalable, and standardized access to tools, data sources, and services for LLM-powered systems.AI Pipeline Development: Create and optimize robust AI pipelines for processing, retrieval, orchestration, and analysis of educational data, ensuring efficiency and scalability.ML Infrastructure Management: Build, deploy, and maintain scalable machine learning infrastructure to support ongoing and future AI initiatives.Collaborative Research: Work closely with the research team to analyze data on learning effectiveness, leveraging insights to inform AI development.Technical Documentation: Document detailed technical specifications, algorithms, architectures, and workflows, and maintain a clean, organized codebase.Continuous Improvement: Stay updated with advancements in LLMs, agentic frameworks, MCP standards, and EdTech research, integrating new methodologies into production systems.Cross-Functional Collaboration: Partner with product managers, educators, and other stakeholders to align AI initiatives with educational goals and user needs.Technical RequirementsEducationMaster's or doctorate degree in Computer Science, AI, or related field from top universitiesEssential Technical SkillsMachine Learning & LLM Expertise: Proven experience in ML model development, deployment, and extensive hands-on experience with Large Language Model (LLM) fine-tuning.RAG Implementation: Strong experience building and evaluating Retrieval-Augmented Generation systems, including embedding strategies, vector databases, chunking, reranking, and retrieval optimization.Agentic Framework Familiarity: Practical experience or strong familiarity with AI agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar), including tool orchestration, memory, and multi-step reasoning workflows.MCP Familiarity: Experience or working knowledge of Model Context Protocol (MCP) for standardized LLM access to external tools, services, and data sources.Programming Proficiency: Advanced skills in Python, including writing efficient, maintainable, and well-documented code.ML Frameworks: Proficiency with frameworks such as PyTorch and TensorFlow, with experience deploying and scaling ML models.Data & Storage: Strong knowledge of SQL and NoSQL databases, vector databases, and data pipelines for AI-driven applications.Version Control: Proficient in Git for collaborative software development.API Development: Experience building RESTful APIs for integrating AI services into production systems.Containerization: Knowledge of Docker for reproducible development and production environments.Cloud Computing: Understanding of cloud platforms and services supporting AI and ML workloads (if applicable).Desired SkillsEdTech Industry Experience: Previous experience working within the educational technology sector, understanding its unique challenges and opportunities.Cloud Service Proficiency: Hands-on experience with major cloud service providers such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.CI/CD Pipeline Management: Experience in setting up and managing Continuous Integration and Continuous Deployment pipelines to streamline development processes.Evaluation & Safety: Familiarity with LLM evaluation, hallucination mitigation, guardrails, and responsible AI practices.Analytical Thinking: Strong analytical and problem-solving skills, with the ability to approach complex challenges methodically.Communication Skills: Excellent written and verbal communication abilities, capable of articulating complex technical concepts to diverse audiences.Project Management: Proven experience in managing projects, ensuring timely delivery and adherence to quality standards.Agile Methodologies: Familiarity with Agile development environments, including experience working in Scrum or Kanban frameworks.Team Collaboration: Ability to work effectively within multidisciplinary teams, fostering a collaborative and productive work environment.Innovation and Creativity: Demonstrated ability to think creatively and innovate within the AI and EdTech domains.What We OfferCompetitive salary packageProfessional development opportunitiesFlexible working arrangementsCollaborative and innovative work environmentOpportunity to make meaningful impact in education