Software Engineer II
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Role details
Tech stack
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Job description
We are seeking a Software Engineer II - AI to join our AI Platform team. The ideal candidate will possess 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. This role requires a dynamic individual who can build and seamlessly integrate AI solutions across the full stack, contributing to 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:
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Develop, implement, and maintain AI platform & AI powered tools / applications, including generative AI solutions that are reliable, maintainable, and scalable.
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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.
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Work closely with data scientists, product managers, and other engineers to deliver high-quality solutions.
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Stay up to date with the latest advancements in AI technologies, exploring opportunities to integrate new AI capabilities into existing or new applications.
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Implement best practices for application security and ensure compliance with relevant data privacy and protection regulations.
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Contribute to CI/CD processes to allow for smoother releases
Requirements
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3+ years of experience in product or enterprise software development.
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Hands-on experience on the full software stack including Frontend (Angular/React), Backend / API (Python / Node.js), Databases (such as MySQL and PostgreSQL, NoSQL databases such as DynamoDB) and Infrastructure (AWS/Azure, Terraform)
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Experience implementing accessible features in web applications.
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Experience assisting in the development of scalable AI powered solutions at an enterprise level such as Azure AI Search, Azure OpenAI service, Amazon Bedrock or similar technologies.
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Recent focus on generative AI, with hands-on experience in applying LLM frameworks such as LangChain
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Working knowledge of Retrieval-Augmented Generation (RAG) techniques, including implementing and optimizing RAG models to enhance information retrieval and generation capabilities
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Solid technical abilities in software development, testing, monitoring, performance tuning and deployment pipelines
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Strong technical communication and collaboration skills
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Passion for technology and commitment to staying current on AI advancements
Benefits & conditions
The pay range for this position is between $90,000 - $135,000 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.
About the company
At McGraw Hill we create best-in-class, next-generation learning platforms that are used by millions of students and educators worldwide every day. We design intuitive and effective tools and experiences that maximize teachers’ time and students’ learning. And we do all of this in a supportive and collaborative environment where we work alongside brilliant colleagues, touch lives around the world, see the difference our hard work makes, and continue our paths of lifelong learning., At McGraw Hill, we believe that our contribution to unlocking a brighter future lies within the application of our deep understanding of how learning happens and how the mind develops. It exists where the science of learning meets the art of teaching.
Educators have been and always will be at the core of the learning experience. The solutions we develop help educators impart their knowledge to students more efficiently. We believe that harnessing technology can enhance learning inside and outside of the classroom and deepen the connections between students and teachers to empower greater success.
By partnering with educators around the globe, our learning engineers, content developers and pedagogical experts are developing increasingly open learning ecosystems that are proven to improve pass rates, elevate grades and increase engagement for each individual learner while improving outcomes for all.
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