Lead Senior Software Engineer

Job Requirements:

• Experience: 5+ years in software engineering, including 2+ years in a Senior/Staff-level capacity leading significant technical initiatives.
• Agentic Systems Mastery: Proven, hands-on experience building complex agentic systems, including proficiency with tool calling, advanced prompt optimization, and comprehensive context engineering.
• LLM Integration & Backend: Deep, practical experience integrating with LLMs, coupled with strong skills in prompt engineering and Retrieval-Augmented Generation (RAG) pipelines.
• Programming Proficiency: Strong expertise in at least two of the following programming languages: Python, JavaScript/TypeScript, or C#.
• Cloud Platform Experience: Experience deploying and managing systems on at least one of the major cloud platforms (AWS, GCP, or Azure), utilizing containerization and implementing robust observability tooling.
• Web Application and API Development: Proven experience building and deploying robust, high-throughput full stack solutions including backend services/APIs that integrate with AI models and orchestrate complex workflows.
• Vector Databases: Familiarity with vector databases and embedding models.
• Security Focus: Demonstrated experience designing secure systems capable of safely handling untrusted code execution or complex user-generated content.
• Soft Skills: Excellent communication, collaboration skills, and the ability to autonomously drive technical initiatives from initial prototype through to high-scale production.

Nice to Have:

• Experience with AI Agent evaluation frameworks.
• Familiarity with scalable inference pipelines.
• Familiarity with open tool protocols (e.g., MCP, A2A), browser automation etc.
• Prior work in EdTech.
• Familiarity with AWS Bedrock and Strands Agents

Job Overview
We are seeking a Lead/Senior Software Engineer (AI Applications) to own the architecture and implementation of reliable and responsible agent orchestration systems. In this high-impact, individual contributor role, you will be instrumental in designing autonomous AI agents, integrating advanced generative capabilities into our core products, and establishing the technical foundation for our AI-driven future. You will be a key technical leader, driving best practices, mentoring peers, and ensuring our AI systems are scalable, safe, and trustworthy.

Job Responsibilities:

• Agent Architecture & Implementation: Design, build, and deploy robust Generative AI agents featuring advanced capabilities like persistent memory, shared state management, and complex multi-step reasoning workflows specifically tailored for real-world educational applications.
• Product Innovation: Drive the development of cutting-edge, AI-enabled web based educational software systems that redefine user interaction and learning outcomes.
• Generative AI Integration: Seamlessly incorporate Generative AI features into existing platforms, focusing on optimizing performance, ensuring a seamless UX, and maintaining strict safety compliance.
• Intelligent System Leverage: Expertly leverage Large Language Models (LLMs) and multimodal models to deliver highly intelligent, context-aware user experiences.
• Agent Quality & Evaluation: Establish and maintain frameworks for comprehensive agent evaluation, including rigorous testing, critical safety assessments, and detailed performance monitoring.
• Cross-Functional Leadership: Partner closely with other teams to translate complex user needs and learning workflows into scalable, production-ready agentic capabilities.
• Technical Mentorship: Act as a subject matter expert, guiding engineers on advanced agent design patterns, optimal LLM integration strategies, and best practices for building secure, autonomous systems.
• Mission Alignment: Contribute to a mission-driven environment focused on innovation, measurable impact, and the ethical, responsible development and deployment of AI enabled products.