Senior Software Engineer (AI Applications)

Cambium Assessment Inc is a leading education technology firm focused on innovative solutions in online assessment systems. They are seeking a Senior Software Engineer (AI Applications) to design and implement advanced AI-driven systems, ensuring scalability and safety while mentoring peers and driving best practices.

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

Requirements:

• 5+ years in software engineering, including 2+ years in a Senior/Staff-level capacity leading significant technical initiatives
• Proven, hands-on experience building complex agentic systems, including proficiency with tool calling, advanced prompt optimization, and comprehensive context engineering
• Deep, practical experience integrating with LLMs, coupled with strong skills in prompt engineering and Retrieval-Augmented Generation (RAG) pipelines
• Strong expertise in at least two of the following programming languages: Python, JavaScript/TypeScript, or C#
• 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
• Proven experience building and deploying robust, high-throughput full stack solutions including backend services/APIs that integrate with AI models and orchestrate complex workflows
• Familiarity with vector databases and embedding models
• Demonstrated experience designing secure systems capable of safely handling untrusted code execution or complex user-generated content
• Excellent communication, collaboration skills, and the ability to autonomously drive technical initiatives from initial prototype through to high-scale production
• 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