Senior AI Engineer

Macmillan

Senior AI Engineer designing cloud-native applications with a focus on AI at Macmillan Publishing. Collaborating to modernize technology platforms and integrate AI capabilities across the publishing lifecycle.

Posted 5/27/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $150,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies

CloudFirebasePythonReactTypeScript

About the role

Key responsibilities & impact

Own AI-powered features end-to-end, from scoping, design and requirements engineering to feature evaluation, deployment and operation.
Design, build and maintain cloud-native, event-driven AI applications across the full stack.
Evaluate, integrate, and optimize AI models for production use, balancing quality, latency, reliability and cost.
Collaborate effectively with cross-functional team members, including non-technical stakeholders, to refine requirements and align technical solutions with business objectives.
Build and maintain robust AI inference, evaluation, and monitoring pipelines.
Develop and implement robust, automated AI application evaluation frameworks.
Analyze AI application performance data and experiments, using insights for data-driven improvements.
Operate and improve production systems, taking ownership of reliability, quality, and technical debt.
Stay current with AI advancements and share knowledge to upskill the team.
Plan, track, and break down work effectively in an agile team.
Provide technical leadership, drive design reviews, write ADRs and contribute to hiring and onboarding.
Participate in on-call rotations, incident response and post-mortems for AI-powered systems and help define SLOs and error budgets.

Requirements

What you’ll need

Pragmatic, result-oriented analytical problem solving skills that can overcome ambiguity.
Friendly, concise, audience-oriented communication in written and spoken form (English) with effective asynchronous communication.
Self-organized, purpose-driven individual that likes to collaborate with and enable their team.
A T-shaped engineer with strong general software engineering and AI skills, paired with deep expertise in at least one area: Frontend: Advanced experience with React and TS, building high-quality, user-facing apps. Backend: Deep experience designing and operating scalable, event-driven Python systems in cloud-native environments. AI: In-depth knowledge of frontier AI models, evaluation, integration into AI-powered product features, and production best practices. Strong theoretical understanding and practical experience with current AI model internals.
Proven experience with AI model deployment & utilization strategies, evaluation methodologies, and monitoring frameworks in production environments.
Proven experience owning features end-to-end, from technical design to production.
Strong understanding of how to integrate AI into production systems, including the challenges of non-deterministic behavior.
Solid understanding and practical application of MLOps and LLMOps best practices for AI applications.
Familiarity and hands-on experience with major AI service providers and their offerings.
Working knowledge of fine-tuning methods and their appropriate application.
Strong software engineering skills with the ability to bridge AI research/concepts and robust, production-ready engineering implementations.
Experience breaking down complex AI objectives into requirements & actionable tasks.
Experience leveraging and refining agile practices and processes within an AI/ML team context, including effective requirements, design, and code reviews.
Proven experience in quickly assessing and adopting new technologies & frameworks.
Able to implement Clean Architecture & Onion Architecture principles.
Experience building and operating cloud-native systems, ideally on Google Cloud / Firebase with solid DevOps and MLOps fundamentals, including CI/CD, observability, and Infrastructure as Code.
Working knowledge of AI safety and security.
Solid testing discipline across the stack.
Mentorship and technical-leadership experience: growing other engineers, leading design reviews, and influencing technical direction across teams.
Working knowledge of AI safety and security: OWASP Top 10 for LLMs, prompt injection, data exfiltration risks, content moderation, and PII / GDPR handling.
Solid testing discipline across the stack - unit, integration, and contract tests for both deterministic code and AI components.
Experience operating production systems on-call.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Macmillan Website LinkedIn All Job Openings 1001 - 5000 employees 📱 Media 📚 Education Media
Education Macmillan is a leading global publishing company and home to a wide range of imprints that publish adult and children’s fiction, nonfiction, and educational materials. Part of the Holtzbrinck Publishing Group, Macmillan also operates Macmillan Learning and Macmillan Education, providing interactive course solutions, higher education content, language learning, and school curriculum publishing across dozens of countries. The company focuses on supporting authors, educators, students, and institutions with world-class content and digital learning tools. Senior AI Engineer 🔥 3 minutes ago 🗽 New York – Remote 💵 $150k - $160k / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer Cloud Firebase Python React TypeScript Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Own AI-powered features end-to-end, from scoping, design and requirements engineering to feature evaluation, deployment and operation.
Design, build and maintain cloud-native, event-driven AI applications across the full stack.
Evaluate, integrate, and optimize AI models for production use, balancing quality, latency, reliability and cost.
Collaborate effectively with cross-functional team members, including non-technical stakeholders, to refine requirements and align technical solutions with business objectives.
Build and maintain robust AI inference, evaluation, and monitoring pipelines.
Develop and implement robust, automated AI application evaluation frameworks.
Analyze AI application performance data and experiments, using insights for data-driven improvements.
Operate and improve production systems, taking ownership of reliability, quality, and technical debt.
Stay current with AI advancements and share knowledge to upskill the team.
Plan, track, and break down work effectively in an agile team.
Provide technical leadership, drive design reviews, write ADRs and contribute to hiring and onboarding.
Participate in on-call rotations, incident response and post-mortems for AI-powered systems and help define SLOs and error budgets. 🎯 Requirements
Pragmatic, result-oriented analytical problem solving skills that can overcome ambiguity.
Friendly, concise, audience-oriented communication in written and spoken form (English) with effective asynchronous communication.
Self-organized, purpose-driven individual that likes to collaborate with and enable their team.
A T-shaped engineer with strong general software engineering and AI skills, paired with deep expertise in at least one area: Frontend: Advanced experience with React and TS, building high-quality, user-facing apps. Backend: Deep experience designing and operating scalable, event-driven Python systems in cloud-native environments. AI: In-depth knowledge of frontier AI models, evaluation, integration into AI-powered product features, and production best practices. Strong theoretical understanding and practical experience with current AI model internals.
Proven experience with AI model deployment & utilization strategies, evaluation methodologies, and monitoring frameworks in production environments.
Proven experience owning features end-to-end, from technical design to production.
Strong understanding of how to integrate AI into production systems, including the challenges of non-deterministic behavior.
Solid understanding and practical application of MLOps and LLMOps best practices for AI applications.
Familiarity and hands-on experience with major AI service providers and their offerings.
Working knowledge of fine-tuning methods and their appropriate application.
Strong software engineering skills with the ability to bridge AI research/concepts and robust, production-ready engineering implementations.
Experience breaking down complex AI objectives into requirements & actionable tasks.
Experience leveraging and refining agile practices and processes within an AI/ML team context, including effective requirements, design, and code reviews.
Proven experience in quickly assessing and adopting new technologies & frameworks.
Able to implement Clean Architecture & Onion Architecture principles.
Experience building and operating cloud-native systems, ideally on Google Cloud / Firebase with solid DevOps and MLOps fundamentals, including CI/CD, observability, and Infrastructure as Code.
Working knowledge of AI safety and security.
Solid testing discipline across the stack.
Mentorship and technical-leadership experience: growing other engineers, leading design reviews, and influencing technical direction across teams.
Working knowledge of AI safety and security: OWASP Top 10 for LLMs, prompt injection, data exfiltration risks, content moderation, and PII / GDPR handling.
Solid testing discipline across the stack - unit, integration, and contract tests for both deterministic code and AI components.
Experience operating production systems on-call. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Lead Agentic AI Engineer 🔥 1 hour ago Hexion Inc. 1001 - 5000 🚀 Aerospace Website LinkedIn All Job Openings Engineering lead for Agentic AI delivery across Supply Planning and Manufacturing. Designing and deploying production-grade AI agent solutions using Azure tools and frameworks. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer Azure ERP PySpark Python React SQL Senior Principal, AI Engineer 🔥 2 hours ago Gainwell Technologies 10,000+ employees ⚕️ Healthcare Insurance Website LinkedIn All Job Openings AI Engineer designing, developing, and deploying advanced AI solutions in healthcare technology. Leading cross-functional teams and ensuring compliance with industry standards. 🇺🇸 United States – Remote 💵 $184k - $262.9k / year 💰 Grant on 2023-06 ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor AWS Azure Cloud Google Cloud Platform Hadoop NoSQL Python PyTorch Spark SQL Tensorflow AI Engineer 🔥 4 hours ago Verathon 501 - 1000 ⚕️ Healthcare Insurance 🧬 Biotechnology Website LinkedIn All Job Openings AI Engineer responsible for developing AI solutions in the medical device sector at Verathon. Collaborating with teams to implement secure, scalable technical solutions. 🇺🇸 United States – Remote 💵 $115k - $231k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Python AI Architect 🔥 5 hours ago Nimble Gravity 51 - 200 🤖 Artificial Intelligence ☁️ SaaS 🛍️ eCommerce Website LinkedIn All Job Openings AI Architect designing and optimizing AI-driven applications on Azure. Requires strong engineering expertise and creative problem-solving. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Azure Cloud Entity Framework Python React TypeScript AI Engineer 🔥 9 hours ago Nimble Gravity 51 - 200 🤖 Artificial Intelligence ☁️ SaaS 🛍️ eCommerce Website LinkedIn All Job Openings AI Engineer developing advanced AI solutions using Generative AI technologies at Nimble Gravity. Collaborating across teams to deliver high-impact AI applications in US and LATAM. 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Google Cloud Platform Python PyTorch View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

AI application developmentcloud-native applicationsevent-driven systemsPythonReactTypeScriptMLOpsLLMOpsCI/CDInfrastructure as Code

Soft Skills

analytical problem solvingeffective communicationself-organizationcollaborationtechnical leadershipmentorshipagile practicesdesign reviewsdata-driven decision makingadaptability