About
EdSpan is an innovative company in the EdTech space, building cutting-edge learning experiences for the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. We are currently working on three major projects:
AI tutoring experience — an innovative project that brings real-time interaction with a 3D animated assistant powered by LLM technology. This virtual tutor helps students navigate challenges, provides guidance, and enhances the learning journey in a playful and engaging way.
Tutorpeers – a peer-to-peer tutoring platform with a young teachers marketplace, event booking features and Zoom-like online sessions with additional interactive learning tools.
Spark Incubator – LMS-like system designed to teach kids entrepreneurship.
We have well-defined processes, trying to automate routine things, conduct code reviews, use CI and CD pipelines to validate and ship our code. We use the Agile approach with daily stand-ups, bi-weekly sprints, and other Scrum artifacts. We keep the number of meetings to a minimum so that engineers can focus on writing high-quality code and delivering cool features.
Who you are
We’re hiring our first AI/ML Engineer to lead the development of our AI agents, including prompting, the RAG and evaluation pipelines, potential fine-tuning. So, you’ll play a key role in shaping the technical direction. We’re seeking someone with a strong understanding of machine learning and NLP fundamentals, capable of tackling complex challenges in agentic workflows and optimizing model performance across the stack.
Requirements
Highly desireable
Responsibilities
- Design, implement, and optimize LLM prompts to ensure reliable outputs;
- Assist in developing and maintaining AI evaluation workflows, including designing evaluation guidelines and metrics;
- Help design and develop AI data pipelines: collection, storage, annotation, and model improvement;
- Leverage agent orchestration tools to improve and automate AI workflows;
- Collaborate with the product team to ensure AI capabilities power usable product features.