AI Engineer

About the Role 

We are looking for a passionate and mission-driven AI Engineer to join us in building impactful AI solutions that bridge gaps in the education system. This role focuses on designing and deploying intelligent, cost-effective systems that can operate reliably in low-resource school environments. 

You will work at the intersection of AI innovation and real-world constraints, ensuring that advanced technologies are accessible, scalable, and meaningful for students and educators. 

• Building highly accurate AI systems that function effectively even with limited infrastructure (low bandwidth, low compute environments). 
  

• Designing solutions that balance performance, cost, and scalability for schools with constrained resources. 
  

• Creating robust AI pipelines that can handle multilingual, multimodal, and unstructured educational data. 
  

• Improving reliability and usability of AI systems for non-technical users (teachers, students). 
  

• Creating robust observability and evaluation pipelines to ensure all releases and system changes are reliable, measurable, and continuously improving over time. 
  

• Continuously optimizing models and architectures to increase efficiency while reducing operational costs. 
  

• Designing, fine-tuning, and training AI models to improve accuracy, adaptability, and performance for real-world educational use cases. 
  

3) The Job Description 

As an AI Engineer, you will design, develop, and deploy AI-driven systems tailored for educational use cases. You will work on building agentic and multi-agent architectures, integrating retrieval systems, and ensuring production-grade deployment. 

This role requires strong technical depth, problem-solving ability, and a deep understanding of how to adapt cutting-edge AI technologies to real-world challenges.

 In This Role, Some of Your Responsibilities Will Include 

• Designing and implementing agentic and multi-agent AI architectures for complex problem-solving. 
  

• Developing and optimizing RAG-based and multimodal AI systems. 
  

• Building scalable AI pipelines using tools like LangChain, Langfuse, and Python-based frameworks. 
  

• Deploying and managing AI systems in production environments with monitoring and evaluation pipelines. 
  

• Improving performance, latency, and cost-efficiency of existing AI systems. 
  

• Working with image, text, and multimodal data to build impactful educational tools. 
  

• Collaborating with cross-functional teams to translate real-world education challenges into AI solutions. 
  

You Will Thrive in This Role If You: 

• Are deeply motivated by solving real-world problems in education. 
  

• Enjoy working in constraint-heavy environments and turning limitations into innovation. 
  

• Have a strong bias for building practical, scalable solutions rather than just prototypes. 
  

• Think in terms of systems and architecture, not just models. 
  

• Are comfortable experimenting, iterating, and improving continuously. 
  

• Can balance technical excellence with usability and impact. 
  

Mandatory Prerequisites Include: 

• Strong proficiency in Python and AI/ML development. 
  

• Hands-on experience with agentic architectures and multi-agent systems. 
  

• Experience using frameworks/tools such as LangChain and Langfuse