The Position

We'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 Responsibilities:

• AI 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 Requirements:
Education:

• Master's or doctorate degree in Computer Science, AI, or related field from top universities

Key Technical Skills:

• Machine 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 Skills:

• 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.
• EdTech Industry Experience: Previous experience working within the educational technology sector, understanding its unique challenges and opportunities.
• 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.
• 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 Offer:

• Competitive salary package, with an option plan for key team members
• Professional development opportunities
• Flexible working arrangements
• Collaborative and innovative work environment
• Opportunity to make meaningful impact in education

Job Type: Full-time

Pay: $28,000.00 - $48,000.00 per month

Benefits:

• Additional leave
• Employee discount
• Medical Insurance
• Opportunities for promotion
• Paid sick time
• Professional development

Work Location: In person