[Hiring] Senior Software Engineer - AI @McGraw Hill LLC.

Role Description

We're looking for a Senior Software Engineer — AI to join our AI Platform team. You'll own the design, development, and delivery of AI-powered products end-to-end — from prototyping new capabilities with LLMs to hardening them for millions of concurrent users. You'll work primarily on our backend systems — Python (FastAPI) and Go (Gin) microservices, RAG pipelines, and LLM orchestration.

• Build and ship AI-powered products:
• Design, develop, and maintain generative AI applications — from RAG pipelines with vector search and semantic chunking to LLM orchestration, production APIs, and async task workflows.
• Own features from concept through deployment and monitoring, making pragmatic architectural decisions that balance innovation with reliability at scale.
• Operate a dual-language backend:
• Work across Python (FastAPI) and Go (Gin) microservices, understanding when each language's strengths apply.
• Build async-first APIs, background workers (Celery/SQS), and data pipelines that handle millions of concurrent users.
• Own infrastructure and observability:
• Contribute to Terraform modules, Kubernetes manifests (Kustomize), and CI/CD pipelines (GitHub Actions).
• Instrument services with our observability stack (New Relic, Datadog, Prometheus) so the team can ship with confidence and debug production issues quickly.
• Lead through technical excellence:
• Drive design reviews, write clear technical documentation, and make thoughtful decisions about tradeoffs.
• Improve team standards around code quality, testing, observability, and system reliability.
• Mentor and multiply:
• Support the growth of engineers on the team through pairing, code review, and design guidance.
• Share knowledge proactively and foster an inclusive, learning-oriented team culture.
• Collaborate cross-functionally:
• Partner with data scientists to evaluate model performance and fine-tune prompts.
• Work with product managers and designers to translate product vision into technically sound solutions.
• Stay at the frontier:
• Experiment with new models, frameworks, and techniques — and bring a point of view on which advancements are worth integrating into our platform.
• Ship with confidence:
• Build with accessibility in mind, meeting WCAG 2.2 AA standards.
• Champion code quality through static analysis, type checking, security linting, and comprehensive test suites.

Qualifications

• 5+ years of professional software development experience, with a strong track record of delivering and operating distributed systems.
• Practical experience building generative AI applications — working with LLMs (Azure OpenAI or similar), prompt engineering, RAG architectures, and custom orchestration pipelines.
• Deep proficiency in Python (FastAPI, async/await, Pydantic) and working knowledge of Go.
• Production experience with AWS and Azure.
• Experience with APM and monitoring tools.
• Strong communication and collaboration skills.
• Passion for the intersection of AI and education.

Requirements

• Experience building production software.
• Hands-on AI engineering skills.
• Backend-strong, polyglot capable.
• Cloud and infrastructure fluency.
• An observability and quality mindset.
• An ownership mindset.
• Strong communication and collaboration skills.
• Passion for the mission.

Benefits

• Competitive compensation.
• Clear career paths.
• Annual bonus plan may be provided as part of the compensation package.
• Full range of medical and/or other benefits.