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McGraw Hill · 1 day ago

Software Engineer III - AI

United States

Full-time

Remote

Senior Level

$94K/yr - $140K/yr

5+ years exp

McGraw Hill creates best-in-class learning platforms used by millions of students and educators worldwide. They are seeking a Software Engineer - AI to join their AI Platform team, focusing on building AI powered full stack applications and driving forward AI initiatives.

E-LearningEdTechEducationPublishing

No H1B

Responsibilities

Design, develop, implement, and maintain AI platform & AI powered tools / applications, including generative AI solutions that are reliable, maintainable, and scalable

Emphasize technical leadership, drive impactful initiatives, and mentor junior engineers

Develop and maintain software solutions that comply with accessibility standards such as WCAG 2.2 AA. Integrate accessibility best practices into code, testing, and design processes

Work closely with data scientists, product managers, and other engineers to deliver high-quality solutions

Stay up to date with the latest advancements in AI technologies, exploring opportunities to integrate new AI capabilities into existing or new applications

Implement best practices for application security and ensure compliance with relevant data privacy and protection regulations

Contribute to CI/CD processes to allow for smoother releases

Contribute to cloud infrastructure optimizing for performance, cost, and security

Promote engineering best practices within your team to ensure quality, stability, performance, resiliency, and maintainability of your software

Qualification

Generative AIFull stack developmentAI powered solutionsPythonAWS/AzureAccessibility standardsCI/CD processesPassion for technologyTechnical communicationCollaboration skills

Required

5+ years of experience in product or enterprise software development

Strong hands-on experience on the full software stack including Backend / API (Python / GoLang / Node.js), Frontend (Angular/React), Databases (such as MySQL and PostgreSQL, NoSQL databases such as DynamoDB) and Infrastructure (AWS/Azure, Terraform)

Experience implementing accessible features in web applications

Experience developing scalable AI powered solutions at an enterprise level such as Azure AI Search, Azure OpenAI service, Amazon Bedrock or similar technologies

Recent focus on generative AI, with hands-on experience in applying LLM frameworks such as LangChain

Practical knowledge of Retrieval-Augmented Generation (RAG) techniques, including implementing and optimizing RAG models to enhance information retrieval and generation capabilities

Proven technical abilities in software development, testing, monitoring, performance tuning and deployment pipelines

Strong technical communication and collaboration skills

Passion for technology and commitment to staying current on AI advancements