Sr Developer - AI Application Backend (GCP, Python)

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

Job summary

Mattel is looking for a highly skilled backend developer to design, build, and scale AI-driven solutions using Python and Google Cloud Platform in Hyderabad. You'll work closely with AI engineers and data scientists to implement production-grade applications and scalable services.

The ideal candidate has 5.5 to 9 years of experience, strong Python skills, and hands-on knowledge of GCP and distributed systems. Join an inclusive team at Mattel where you can thrive.

Qualifications

• 5.5 to 9 years of backend development experience.
• Hands-on experience with GCP cloud services.
• Strong proficiency in Python.

Responsibilities

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

Skills

Python

GCP

REST APIs

Docker

Kubernetes

SQL

CI/CD pipelines

Asynchronous programming

FastAPI

Flask

Django

Education

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

Tools

Google Cloud Platform

BigQuery

Cloud Run

GKE

Vertex AI

Job description

The Opportunity

We are seeking a highly skilled individual 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 RAG (Retrieval‑Augmented Generation) pipelines and AI orchestration workflows where applicable.
• Optimize AI inference performance, latency, and reliability.
• 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, Cloud Storage, Vertex AI (preferred).
• Ensure scalability, monitoring, 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.
• 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).
• 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)
• SQL
• FastAPI / Flask / Django
• Async programming (asyncio)
• Google Cloud Platform (GCP)
• Vertex AI (preferred)
• BigQuery
• Cloud Run / GKE
• Docker
• Kubernetes
• CI/CD pipelines
• Git
• 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

What We’re Looking For

• 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.

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.

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.