The education essentials company.

Senior Software Engineer – AI Applications

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 501-1,000Since 2009H1B SponsorCompany Site LinkedIn

Location

United States

Posted

86 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformJava ScriptPythonType Script

Job Description

• 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.

Job 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.