Sr Software Engineer - Applied AI at McGraw Hill

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. We are seeking a Sr. Software Engineer – Applied AI to join our AI Platform team. Your Impact on the team As a Sr. Software Engineer – Applied AI you possess the expertise in building AI powered full stack applications . Since this position entails development of Generative AI enabled apps, practical experience in generative AI 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. As a senior member of the team, you will also mentor other engineers and help shape the technical direction of our AI platform . 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. • Lead the scoping, architecture, and implementation of complex, cross-team 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. • Mentor and coach junior and mid-level engineers through code reviews, design discussions, and knowledge sharing, and help set technical direction for the team. • 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. • 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. We’re looking for someone with: • 4+ years of experience in product or enterprise software development, including hands-on experience building AI powered applications. • 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) • Hands-on experience with Model Context Protocol (MCP), including designing and building MCP servers and clients to connect LLMs and AI agents with external tools and data sources • 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 • Track record of leading technical design, mentoring engineers, and influencing architecture decisions across teams • 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 $124,300 - $145,000 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. Click here to learn more about our benefit offerings. McGraw Hill recruiters always use a “@mheducation.com” email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email. 51360

Requirements

Must-haves

Impact the Moment
Your Impact on the team
This is a remote position open to applicants authorized to work for any employer within the United States.
Design, develop, implement, and maintain AI platform & AI powered tools / applications, including generative AI solutions that are reliable, maintainable, and scalable.
Lead the scoping, architecture, and implementation of complex, cross-team 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.
Mentor and coach junior and mid-level engineers through code reviews, design discussions, and knowledge sharing, and help set technical direction for the team.
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.
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.
4+ years of experience in product or enterprise software development, including hands-on experience building AI powered applications.
Hands-on experience with Model Context Protocol (MCP), including designing and building MCP servers and clients to connect LLMs and AI agents with external tools and data sources
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
Track record of leading technical design, mentoring engineers, and influencing architecture decisions across teams
Strong technical communication and collaboration skills
Passion for technology and commitment to staying current on AI advancements
Experience implementing accessible features in web applications.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdaccessibilityapipythonnode.jsangularreactawsazurellm

Platform: jibe
Effort: medium