Mattel
Toy and family entertainment
SrDeveloper-AIApplicationBackend(GCP,Python)
Neural analysis suggests this role is
optimal for mid candidates.
“Sr Developer - AI Application Backend (GCP, Python) at Mattel. Skills: Python, Google Cloud Platform, AI Application Development, LLM integrations. Design and develop backend services. Integrate Large Language Models”
What You'll Achieve.
deliver intelligent, reliable, and high-performance backend services; Ensure scalability, monitoring, and fault tolerance; Optimize AI inference performance, latency, and reliability; pursuing best-in-class outcomes; empowered to create and deliver results
Industry & Context.
analytical and problem-solving skills
What They're Looking For.
Must Have
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, Vertex AI
What You'll Do.
Design and develop backend services
Integrate Large Language Models
Implement RAG pipelines
Optimize AI inference performance
Design and deploy AI backend services
Implement IAM policies
Develop data pipelines
Integrate backend systems
Handle data validation
Containerize applications
Deploy and manage services
Implement CI/CD pipelines
Monitor application health
Participate in Agile/Scrum ceremonies
Conduct peer code reviews
Troubleshoot and debug production issues
Contribute to architectural decisions
How You'll Work.
Team & Collaboration
Collaborate closely with AI engineers, data scientists, frontend developers, and DevOps teams; Cross-functional collaboration; Work closely together always brings better results; Partnership is our process
Communication Scope
Clear communication skills
Process & Methodology
Participate in 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. The Opportunity: We are seeking a highly skilled 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 Engine) * Cloud Storage * Vertex AI
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