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# Lead/Senior Software Engineer (AI Applications

- **Company:** Cambium Learning Group
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Computer Programming, Educational Software, Human-Computer Interaction, Python (Programming Language), Machine Learning, Software Engineering, Trusted Systems, TypeScript, Web Applications, Datadog, Google Cloud, Delivery Pipeline, Large Language Models, Prompt Engineering, Generative AI, Backend, Agentic-AI, Containerization, Performance Monitor, User Generated Content, Virtual Agents, Api Design, Agent2Agent Protocol
- **Published:** October 7, 2026
- **Apply:** https://www.dice.com/job-detail/46f61f66-d1df-49ff-9941-e3272f3a3679

## About the Role

* 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, Google Cloud Platform, 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, If you will be working remotely, either occasionally or on a permanent basis, you must have a reliable internet connection through a cable or fiber-optic broadband service with minimum speeds of 10 Mbps download and 5 Mbps upload.

## Description

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., * 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.