Senior Software Engineer – AI Applications

Description

• 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. • Drive the development of cutting-edge, AI-enabled web based educational software systems that redefine user interaction and learning outcomes. • Seamlessly incorporate Generative AI features into existing platforms, focusing on optimizing performance, ensuring a seamless UX, and maintaining strict safety compliance. • Expertly leverage Large Language Models (LLMs) and multimodal models to deliver highly intelligent, context-aware user experiences. • Establish and maintain frameworks for comprehensive agent evaluation, including rigorous testing, critical safety assessments, and detailed performance monitoring. • Partner closely with other teams to translate complex user needs and learning workflows into scalable, production-ready agentic capabilities. • 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. • 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.

Benefits

• Flexible work arrangements • Reimbursement to help cover the cost of setting up your home or remote office

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