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Sr Developer- AI

Mattel, Inc. · Posted today

  • Hyderabad, Telangana, India (On-site)
  • Full-time
  • 5-9 yrs

About the role

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 Developmen

t

• 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 (GC

P

)

• Design and deploy AI backend services on Google Cloud Platform (GCP)

• . Work with GCP services such a

• s BigQuer

• y Cloud Ru

• n Cloud Function

• s Compute Engin

• e GKE (Kubernetes Engine

• ) Cloud Storag

• e Vertex AI (preferred

• ) Ensure scalability, monitoring, and fault tolerance of cloud applications

• . Implement IAM policies, security best practices, and environment isolation

.

🔹 Data & Integrat

i

o

• n

Develop data pipelines to support AI models and analytics workflow

• s. Integrate backend systems with third-party APIs and enterprise application

• s. Work with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, BigQuery

• ). Handle data validation, transformation, and preprocessing logi

c

.

🔹 DevOps & C

I

/

• CD

Containerize applications using Dock

• er. Deploy and manage services using Kubernetes (GKE preferre

• d). Implement CI/CD pipelines (GitHub Actions, Cloud Build, Jenkin

• s). Monitor application health and performance using logging and observability too

l

s

.

🔹 Collaboration & Engineering Excel

l

e

• nce

Participate in Agile/Scrum ceremon

• ies. Write clean, maintainable, well-documented c

• ode. Conduct peer code revi

• ews. Troubleshoot and debug production iss

• ues. Contribute to architectural decisions and continuous improvem

e

n

t.

Technical Skil

l

Set

Progra

m

m

• ing

Python (Advan

• ced)

S

QL

Frame

w

o

• rks

FastAPI / Flask / Dj

• ango Async programming (asyn

c

i

o)

C

l

• oud

Google Cloud Platform (

• GCP) Vertex AI (prefer

• red) BigQ

• uery Cloud Run /

G

KE

D

e

v

• Ops

Do

• cker Kubern

• etes CI/CD pipel

• ines

G

it

A

I

• /ML

LLM integrat

• ions RAG pipel

• ines Prompt engineering ba

• sics Embedding & vector databases (Pinecone, FAISS, e

t

c

.)

Key Compete

n

c

• ies

Strong backend system design sk

• ills Ownership min

• dset Cross-functional collabora

• tion Clear communication sk

• ills Ability to work in fast-paced, AI-driven environm

e

n

ts

What We’re Lookin

g

• For

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

• eld. 5.5 to 9 years of backend development experie

• nce. Strong proficiency in Pyt

• hon. Hands-on experience with GCP cloud servi

• ces. Experience building scalable backend systems and A

• PIs. Knowledge of microservices architect

• ure. Strong understanding of REST APIs and asynchronous programm

• ing. Experience with SQL-based databa

• ses. Familiarity with containerization (Docker) and cloud-native deploym

• ent. Strong analytical and problem-solving ski

l

l

s.

Preferred Qualifica

t

i

• ons

Experience with AI/ML frameworks (LangChain, Hugging Face, TensorFlow, PyTor

• ch). Experience with Vertex AI or GCP AI servi

• ces. Experience building LLM-based applications (RAG, Agents, embeddin

• gs). Experience with message queues (Pub/Sub, Kaf

• ka). Knowledge of MLOps best practi

• ces. GCP certification (Professional Cloud Developer / Data Engineer / ML Engine

• er). Experience in high-scale, enterprise-grade AI syst

e

m

s.

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 r

o

les.

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 beha

v

i

• ors

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 superp

• ower.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 a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thin

• king.We execute We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver res

u

l

ts.

Our Approach to Flexible

Work:

We embrace a flexible work model designed to empower a culture of growth, optimism, and wellbeing, where every employee can reach their full potential. Combining purposeful in-person collaboration with flexibility, our focus is to optimize performance and drive connection for moments that ma

t

ter.

Who W

e

Are

Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full poten

t

ial.

Mattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and

m

ore.

Visit us at https //jobs.mattel.com/ and www.instagram.com/MattelCare

e

rs .

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 employ

m

ent.

Videos to

w

atch

The Culture at M

a

ttel

Corporate Philanthropy

Skills

PythonGCPAIREST APIsmicroservicesDockerKubernetesCI/CDSQLNoSQLRAG pipelines