Team Lead – Backend & Agentic AI Engineering

Powering CET’s Next-Generation AI Learning Platform

CET (The Center for Educational Technology) is building the next generation of AI-native learning platforms. We are looking for a Team Lead to spearhead the development of our core agentic services. You will guide a high-performing team in building mission-critical backend services and designing multi-agent architectures- primarily utilizing LangGraph with Python- to support CET’s innovation for the next decade.

What You’ll Do: Lead & Innovate

• Lead & Mentor: Manage a team of skilled backend engineers, providing technical guidance and fostering a culture of excellence and continuous learning.
• Architect Agentic Services: Act as the technical authority for our agentic service layer, utilizing LangGraph with Python (or similar frameworks) to design robust, stateful multi-agent systems.
• Bridge the Stack: Oversee the integration of modern Python-based AI services with our existing .NET Core ecosystem.
• Drive Execution: Work with Product Managers to translate vision into technical roadmaps, ensuring timely delivery of scalable microservices and RESTful APIs.
• Stakeholder Collaboration: Communicate complex technical concepts effectively to both non-technical stakeholders and experienced senior engineers.
• Hands-on Development: Remain "in the code" by developing core architectural components and optimizing LLM-driven workflows.
  
  

• Leadership Experience: 2+ years leading a technical team with a proven track record of mentoring senior developers and driving project delivery.
• Expert Python: Deep proficiency in Python for production-grade backend services.
• AI Foundations: Strong experience building LLM-driven applications or workflows.
• System Design: Expert knowledge of microservices and RESTful API design.
• Data Expertise: Solid understanding of database design (SQL/NoSQL) and experience with RAG and Vector Databases.
• Soft Skills: Excellent communication skills and the ability to navigate high-level stakeholder requirements while maintaining technical rigor.
  
  

• Frameworks: Hands-on experience with LangGraph, LangChain or similar frameworks.
• Advanced Systems: Familiarity with distributed systems and handling high-traffic nationwide architectures.
• Interoperability: Knowledge of MCP (Model Context Protocol).
  
  

• Impact: Build systems that power nationwide educational products and influence learning outcomes for millions of students.
• Challenge: Solve the unique hurdles of AI orchestration—balancing reliability with the flexibility of Large Language Models.
• Growth: Lead the transformation of an established organization into an AI-first leader in EdTech within an environment that values autonomy and professional development.