Mattel
Toy and family entertainment
SrSoftwareEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Sr Software Engineer at Mattel. Skills: Python, Google Cloud Platform (GCP), AI Application Backend Development, API development, LLM integration, ML model integration, 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”
What You'll Achieve.
deliver intelligent, reliable, and high-performance backend services; build and scale AI-driven backend systems; develop production-grade AI applications; build scalable APIs; deploy cloud-native solutions on GCP; optimize AI inference performance, latency, and reliability; Ensure scalability, monitoring, and fault tolerance of cloud applications; pursuing best-in-class outcomes
Industry & Context.
analytical and problem-solving skills
What They're Looking For.
Must Have
4+ years of backend development experience, proficiency in Python, Hands-on experience with GCP cloud services, Experience building scalable backend systems and APIs, Knowledge of microservices architecture, understanding of REST APIs and asynchronous programming, Experience with SQL-based databases, Familiarity with containerization (Docker) and cloud-native deployment, analytical and problem-solving skills
Nice to Have
Experience with AI/ML frameworks (LangChain, Hugging Face, TensorFlow, PyTorch), Experience with Vertex AI or GCP AI services, Experience building LLM-based applications (RAG, Agents, embeddings), Experience with message queues (Pub/Sub, Kafka), Knowledge of MLOps best practices, GCP certification (Professional Cloud Developer / Data Engineer / ML Engineer), Experience in high-scale, enterprise-grade AI systems
What You'll Do.
Design and develop backend services to power AI-driven applications
Integrate Large Language Models (LLMs)
or AI services into production systems
Build RESTful APIs and microservices using Python frameworks (FastAPI
Implement RAG (Retrieval-Augmented Generation) pipelines and AI orchestration workflows
Optimize AI inference performance
Design and deploy AI backend services on Google Cloud Platform (GCP)
and fault tolerance of cloud applications
Implement IAM policies
security best practices
and environment isolation
Develop data pipelines to support AI models and analytics workflows
Integrate backend systems with third-party APIs and enterprise applications
Handle data validation
and preprocessing logic
Containerize applications using Docker
Deploy and manage services using Kubernetes (GKE preferred)
Implement CI/CD pipelines (GitHub Actions
Monitor application health and performance using logging and observability tools
Conduct peer code reviews
Troubleshoot and debug production issues
Contribute to architectural decisions and continuous improvement
How You'll Work.
Team & Collaboration
Collaborate closely with AI engineers, data scientists, frontend developers, and DevOps teams; Participate in Agile/Scrum ceremonies; Conduct peer code reviews; Being a part of Mattel means being part of one team with shared values and common goals; working closely together always brings better results; Partnership is our process and our collective capabilities is our superpower
Communication Scope
Clear communication skills
Process & Methodology
Agile/Scrum ceremonies
Full Job Description
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. About the Role We are seeking a highly skilled AI Application Backend Developer with strong expertise in Python 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, with strong knowledge of distributed systems and scalable architecture. Key Responsibilities 🔹 AI Application Development * 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. * Optimize AI inference performance, latency, and reliability. 🔹 Cloud & Infrastructure (GCP) * Design and deploy AI backend services on Google Cloud Platform (GCP). * Work with GCP services such as: * BigQuery * Cloud Run * Cloud Functions * Compute Engine * GKE (Kubernetes Engin
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