Senior Software Engineer – AI Applications
Posted 118ds ago
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Job Description
Lead/Senior Software Engineer designing and building Generative AI agents for educational technology systems. Driving AI integration and establishing evaluation frameworks in a mission-focused environment.
Responsibilities:
- Design, build, and deploy robust Generative AI agents featuring advanced capabilities.
- Drive the development of cutting-edge, AI-enabled web based educational software systems.
- Seamlessly incorporate Generative AI features into existing platforms.
- Expertly leverage Large Language Models (LLMs) and multimodal models to deliver highly intelligent user experiences.
- Establish and maintain frameworks for comprehensive agent evaluation.
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.
Benefits:
- Remote First Work Environment
- Reimbursement to help cover the cost of setting up your home or remote office


















