Sr Developer - AI Application Backend (GCP, Python)

About the role

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.

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 (preferred)
• Ensure scalability, monitoring, and fault tolerance of cloud applications.
• Implement IAM policies, security best practices, and environment isolation.
• 🔹 Data & Integration
• 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.
• 🔹 DevOps & CI/CD
• Containerize applications using Docker.
• Deploy and manage services using Kubernetes (GKE preferred).
• Implement CI/CD pipelines (GitHub Actions, Cloud Build, Jenkins).
• Monitor application health and performance using logging and observability tools.
• 🔹 Collaboration & Engineering Excellence
• Participate in Agile/Scrum ceremonies.
• Write clean, maintainable, well-documented code.
• Conduct peer code reviews.
• Troubleshoot and debug production issues.
• Contribute to architectural decisions and continuous improvement.
• Technical Skill Set
• Programming
• Python (Advanced)
• SQL
• Frameworks
• FastAPI / Flask / Django
• Async programming (asyncio)
• Cloud
• Google Cloud Platform (GCP)
• Vertex AI (preferred)
• BigQuery
• Cloud Run / GKE
• DevOps
• Docker
• Kubernetes
• CI/CD pipelines
• Git
• AI/ML
• LLM integrations
• RAG pipelines
• Prompt engineering basics
• Embedding & vector databases (Pinecone, FAISS, etc.)
• Key Competencies
• Strong backend system design skills
• Ownership mindset
• Cross-functional collaboration
• Clear communication skills
• Ability to work in fast-paced, AI-driven environments

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5.5 to 9 years of backend development experience.
• Strong proficiency in Python.
• Hands-on experience with GCP cloud services.
• Experience building scalable backend systems and APIs.
• Knowledge of microservices architecture.
• 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 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.
• 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:
• We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower.
• We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make

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