Software Engineer II - Applied AI

Mcgraw Hill; New York (NY); Remote; USD 94,000 - 130,000; Full time

Job summary

McGraw Hill is seeking a Software Engineer II - Applied AI to design and build AI-powered solutions used by millions of students and educators. You will work on the AI Platform team to develop Generative AI enabled apps, applying RAG and MCP techniques, with a focus on scalable, secure, and accessible software.

You will collaborate with data scientists, product managers, and other engineers, staying current with AI advancements and ensuring quality releases.

Qualifications

• 2+ years of product or enterprise software development.
• Experience with full stack: Backend/API (Python, Node.js), Frontend (Angular/React), Databases, Infra (AWS/Azure, Terraform).
• Experience building scalable AI-powered solutions at enterprise level (Azure AI, OpenAI, Bedrock or similar).
• Hands-on with LangChain, RAG, and MCP concepts.

Responsibilities

• Design, develop, implement, and maintain AI platform and AI-powered tools.
• Scope and implement project-level solutions with minimal guidance.
• Own development tasks and deliver code on time with quality mindset.
• Ensure accessibility with WCAG 2.2 AA in code and testing.
• Collaborate with data scientists, product managers, and engineers to deliver quality solutions.
• Stay current with AI advancements and integrate new capabilities.
• Follow security practices and comply with data privacy regulations.
• Contribute to CI/CD processes and cloud infrastructure optimization.
• Promote engineering best practices for performance and maintainability.

Skills

Python

Node.js

Angular/React

MySQL

PostgreSQL

DynamoDB

AWS

Azure

Terraform

LangChain

RAG

MCP

LLM frameworks

CI/CD

WCAG accessibility

Tools

CI/CD pipelines

Cloud platforms

Job description

Overview

Impact the Moment

Do you enjoy testing the limits of possibility? At McGraw Hill, our mission is to unlock the full potential of every learner. This role puts you at the center of that mission, applying AI to products used by millions of students and educators. As a Software Engineer II - Applied AI, you'll have the opportunity to apply your technical expertise to AI-powered solutions that support millions of students and educators. If you're passionate about software engineering and the possibilities of AI, we want to hear from you.

Your impact on the team

As a Software Engineer II - Applied AI on our AI Platform team, you will develop Generative AI enabled apps. You possess the expertise in building AI powered applications, practical experience in generative AI, including approaches such as RAG and MCP, and demonstrating a profound understanding of its principles, applications, and latest advancements is highly desirable. You are a dynamic individual who can build and seamlessly integrate AI solutions across the full stack, driving forward our AI initiatives and ensuring robust, scalable implementations.

This is a remote position open to applicants authorized to work for any employer within the United States.

What You'll Do:

• Design, develop, implement, and maintain AI platform & AI powered tools / applications, including generative AI solutions that are reliable, maintainable, and scalable.
• Scope and implement project-level solutions with minimal guidance.
• Take ownership and work autonomously on any development task within an application or service, delivering code on time and with a quality mindset.
• 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.

We're looking for someone with:

• 2+ years of experience in product or enterprise software development.
• Strong hands-on experience on the full software stack including Backend / API (Python, Node.js), Frontend (Angular/React), Databases (such as MySQL and PostgreSQL, NoSQL databases such as DynamoDB) and Infrastructure (AWS/Azure, Terraform)
• 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
• Familiarity with Model Context Protocol (MCP) and exposure to building or integrating MCP servers or clients to connect LLMs and AI agents with external tools and data sources
• 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
• Experience implementing accessible features in web applications.

Why McGraw Hill?

There has never been a better time to join McGraw Hill. In our culture of curiosity and innovation, you will be able to own your growth and develop as we do.

The pay range for this position is between $93,900 - $130,000 annually, however, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered.

McGraw Hill uses an automated employment decision tool (AEDT) to assist in the screening process by recommending candidates with "like skills" based on resume and job data. To request an alternative screening process, please select "Opt-Out" when asked to "Consent to use of Automated Employment Decision Tools" during the application.