McGraw Hill is seeking a Senior Software Engineer to join their AI Platform team to build and deliver AI-powered learning experiences. The role involves designing and developing generative AI applications and collaborating with various teams while driving technical direction and mentoring engineers.

Responsibilities:

Design, develop, and maintain generative AI applications, RAG pipelines, and LLM orchestration
Work with Python (FastAPI) and Go (Gin) microservices, building async-first APIs and background workers
Contribute to infrastructure (Terraform, Kubernetes) and observability (New Relic, Datadog)
Lead design reviews, mentor engineers, and improve team standards
Collaborate with data scientists, product managers, and designers
Experiment with new AI models and frameworks
Build with accessibility in mind (WCAG 2.2 AA)

Requirements:

5+ years of professional software development experience
Practical experience building generative AI applications (LLMs, prompt engineering, RAG)
Proficiency in Python (FastAPI) and working knowledge of Go
Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes)
Experience with observability tools and a strong focus on code quality
Ownership mindset and strong communication/collaboration skills
Passion for AI in education
Familiarity with semantic routing/chunking libraries
Experience with performance/load testing frameworks (k6)
Background in edtech or adaptive learning
Experience with LLM evaluation frameworks
Familiarity with agentic AI patterns
Experience implementing accessibility features
Familiarity with secrets management patterns

Sr Software Engineer - AI

Key skills

About this role

Responsibilities:

Requirements: