Sr Developer - AI Application Backend (GCP, Python)

Mattel, Inc.; Hyderabad; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

Mattel, Inc. is seeking a skilled backend developer in Hyderabad with expertise in Python and Google Cloud Platform to design and develop AI‑driven backend systems. The ideal candidate will have experience building production-grade applications, scalable APIs, and integrating AI services. Responsibilities include developing backend systems, deploying on GCP using various services, and implementing CI/CD pipelines while ensuring performance and reliability. A Bachelor’s or Master’s degree and extensive backend experience are required.

Qualifications

• 5.5 to 9 years of backend development experience.
• Experience building scalable backend systems and APIs.
• Knowledge of microservices architecture.

Responsibilities

• Design and develop backend services to power AI‑driven applications.
• Integrate Large Language Models (LLMs) and AI services into production systems.
• Build RESTful APIs and microservices using Python frameworks.

Skills

Python (advanced)

SQL

Microservices architecture

GCP

Docker

Kubernetes

REST APIs

CI/CD pipelines

LLM integrations

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

FastAPI

Flask

Django

BigQuery

Cloud Run

GKE

Jenkins

Job description

The Opportunity

We are seeking a highly skilled professional 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

• 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 Retrieval‑Augmented Generation (RAG) pipelines and AI orchestration workflows where applicable.
• Optimize AI inference performance, latency, and reliability.
• Design and deploy AI backend services on GCP using services such as BigQuery, Cloud Run, Cloud Functions, Compute Engine, GKE, Cloud Storage, and Vertex AI.
• Ensure scalability, monitoring, fault tolerance, 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.
• Work with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, BigQuery).
• Containerize applications using Docker; deploy and manage services using Kubernetes (GKE preferred).
• Implement CI/CD pipelines (GitHub Actions, Cloud Build, Jenkins) and monitor application health and performance using logging and observability tools.
• 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

• Python (advanced) and SQL
• Frameworks: FastAPI, Flask, Django, Async programming (asyncio)
• Cloud: GCP, Vertex AI, 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

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Legal Information

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.