Get more replies from employers
Send a job-specific resume in minutes.
Mattel Global Business Services seeks a seasoned backend engineer to design and scale AI-driven backend systems in a production environment. You will build scalable RESTful APIs using Python and modern frameworks, integrating LLMs and ML models while deploying on GCP.
You will collaborate with AI engineers, data scientists, frontend developers, and DevOps teams to ensure reliable, high-performance services, emphasizing security and observability in a fast-paced AI-driven setting.
CREATIVITY IS OUR SUPERPOWER.It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.
The Opportunity:
We are seekinga highly skilled with strongexpertiseinPython and Google Cloud Platform (GCP)to design, build, and scale AI-driven backend systems.
This role focuses on developing production-grade AI applications, building scalable APIs, integrating LLMs and ML models, and deploying cloud-native solutions on GCP. You will collaborate closely with AI engineers, data scientists, frontend developers, and DevOps teams to deliver intelligent, reliable, and high-performance backend services.
The ideal candidate has hands-on experience in building AI-enabled systems using modern Python frameworks and cloud infrastructure, withstrongknowledge of distributed systems and scalable architecture.
Design and develop backend services to power AI-driven applications.
Integrate Large Language Models (LLMs), ML models, or AI services into production systems.
Build RESTful APIs and microservices using Python frameworks (FastAPI, Flask, Django).
Implement RAG (Retrieval-Augmented Generation) pipelines and AI orchestration workflows where applicable.
OptimizeAI inference performance, latency, and reliability.
Design and deploy AI backend services onGoogle Cloud Platform (GCP).
Work with GCP services such as:
BigQuery
Cloud Functions
Compute Engine
Ensure scalability, monitoring, and fault tolerance of cloud applications.
Implement IAM policies, security best practices, andenvironmentisolation.
Develop data pipelines to support AI models and analytics workflows.
Integrate backend systems with third-party APIs and enterprise applications.
Work with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB,BigQuery).
Handle data validation, transformation, and preprocessing logic.
Containerize applications using Docker.
Deploy and manage services using Kubernetes (GKE preferred).
Implement CI/CD pipelines (GitHub Actions, Cloud Build, Jenkins).
Monitorapplicationhealth and performance using logging and observability tools.
Write clean, maintainable, well-documented code.
Troubleshoot and debug production issues.
Contribute to architectural decisions and continuous improvement.
Programming
Python (Advanced)
SQL
Frameworks
FastAPI/ Flask / Django
Cloud
BigQuery
DevOps
Docker
Git
AI/ML
LLM integrations
Ownership mindset
Cross-functional collaboration
Ability to work in fast-paced, AI-driven environments
What We’re Looking For:
Bachelor’s orMaster’s degree in Computer Science, Engineering, or related field.
5.5 to 9years of backend development experience.
Hands-on experience withGCP cloud services.
Experience building scalable backend systems and APIs.
Knowledge ofmicroservicesarchitecture.
Strong understanding of REST APIs and asynchronous programming.
Experience with SQL-based databases.
Familiarity with containerization (Docker) and cloud-native deployment.
Strong analytical and problem-solving skills.
Experience withAI/ML frameworks(LangChain, Hugging Face, TensorFlow,PyTorch).
Experience withVertex AIor GCP AI services.
Experience building LLM-based applications (RAG, Agents, embeddings).
Experience with message queues (Pub/Sub, Kafka).
Knowledge ofMLOpsbest practices.
Experience in high-scale, enterprise-grade AI systems.
Don’t meet every single requirement?At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles.
How We Work:
We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors:
Our Approach to Flexible Work:
We embrace a flexible work model designed to empower a culture of growth, optimism, and wellbeing, where every employee can reach their full potential. Combining purposeful in-person collaboration with flexibility, our focus is to optimize performance and drive connection for moments that matter.
Who We Are:
Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences.Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential.
Mattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more.
Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment.