Sr AI Solution Engineer

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Hyderabad, Telangana, IND
In-Office
Senior level
Digital Media • Kids + Family • Music • News + Entertainment
The Role
Design, develop, and deploy production-grade AI applications using foundation models and LLMs. Build RAG systems, vector search, prompt pipelines, APIs, data pipelines, safety guardrails, evaluation frameworks, and model fine-tuning workflows. Optimize deployed systems for quality, cost, latency, scalability, and security while collaborating with product, data, and engineering teams. The role also involves testing, monitoring, troubleshooting, and improving AI solutions in production.
Summary Generated by Built In
Company 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.

 

Job Description

AI Solution Developer 

Summary 

We are seeking a highly skilled AI Solution Developers with deep expertise in Foundation Models and Large Language Models (LLMs). The ideal candidate will have hands-on experience building, fine-tuning, evaluating, and deploying modern AI systems, including Retrieval-Augmented Generation (RAG) architectures and production-grade AI applications. 

This role requires strong full-stack development capabilities combined with advanced AI knowledge to design scalable, secure, and high-performance AI-powered systems. 

 

Key Responsibilities 

  • Design, develop, and deploy applications leveraging foundation models and LLMs (e.g., GPT-class models, open-source LLMs). 

  • Architect and implement Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search. 

  • Fine-tune, evaluate, and optimize models for performance, cost, latency, and quality. 

  • Trained the model 

  • Setup Best practice and guardrail 

  • Develop prompt engineering strategies and build prompt pipelines. 

  • Build and maintain APIs and backend services for AI-driven applications. 

  • Implement guardrails, safety layers, and evaluation frameworks for AI systems. 

  • Work with structured and unstructured data pipelines. 

  • Collaborate with product, data, and engineering teams to integrate AI capabilities into products. 

  • Monitor, troubleshoot, and improve deployed AI systems in production. 

  • Run test cases on developed solutions.  

 

Qualifications 

  • Education: Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field (or equivalent experience). 

  • Experience: 4+ years in application/web development and creating advanced AI solutions and 2+ years working directly with LLM-based systems. 

  • Technical Skills: 

  • Experience with RAG, embeddings, semantic search, and vector databases  

  • Model fine-tuning techniques 

  • Experience with evaluation frameworks and model benchmarking. 

  • Knowledge of AI safety, alignment, and hallucination mitigation strategies. 

  • Strong proficiency in Python (required). 

  • Solid knowledge of SQL/NoSQL/PostgreSQL/MongoDB database design. 

  • Frontend skills: HTML, CSS, JavaScript (modern frameworks like React, Next.js preferred). 

  • Experience building RESTful APIs (FastAPI, Flask, Django). 

  • Experience with asynchronous programming and microservices architecture. 

  • Experience with vector databases. 

  • Cloud platforms (AWS, GCP, or Azure). 

  • CI/CD pipelines and DevOps practices. 

  • Soft Skills: Strong analytical mindset, eagerness to adopt emerging technologies, excellent communication, and the ability to work collaboratively in a fast-paced operations environment. 

What Makes an Exceptional Candidate 

  • Has built end-to-end LLM products from concept to deployment. 

  • Understands trade-offs between open-source and hosted model APIs. 

  • Thinks in systems: latency, cost optimization, scalability. 

  • Strong problem-solving and experimentation mindset. 

  • Stays current with rapidly evolving AI research and tooling. 

 

Qualifications

What We’re Looking For: 

  • Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges, and improving themselves.
     

Additional Information

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.

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

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 matter.

Who We 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 potential.

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

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

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.

Videos to watch:
The Culture at Mattel
Corporate Philanthropy

Skills Required

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent experience
  • 4+ years of application or web development experience creating advanced AI solutions
  • 2+ years of direct experience working with LLM-based systems
  • Experience with Retrieval-Augmented Generation, embeddings, semantic search, and vector databases
  • Experience with model fine-tuning techniques
  • Experience with evaluation frameworks and model benchmarking
  • Knowledge of AI safety, alignment, and hallucination mitigation strategies
  • Strong proficiency in Python
  • Knowledge of SQL, NoSQL, PostgreSQL, and MongoDB database design
  • Frontend development skills with HTML, CSS, and JavaScript
  • Experience with modern frontend frameworks such as React or Next.js
  • Experience building RESTful APIs with FastAPI, Flask, or Django
  • Experience with asynchronous programming and microservices architecture
  • Experience with vector databases
  • Experience with AWS, GCP, or Azure
  • Experience with CI/CD pipelines and DevOps practices
  • Strong analytical mindset, communication, collaboration, and willingness to adopt emerging technologies

Mattel Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mattel and has not been reviewed or approved by Mattel.

  • Retirement Support — Retirement benefits include automatic company contributions in addition to matching, with auto-enrollment and automatic increases that support long-term savings. Features like age-based company contributions and loan availability reinforce the program’s strength.
  • Parental & Family Support — Family support is emphasized through paid parental leave and access to fertility and family-building resources, complemented by on-site childcare at select campuses. Recent program additions broaden support for parents and caregivers across locations.
  • Leave & Time Off Breadth — Many salaried roles receive flexible or unlimited PTO alongside holiday programs and hybrid/flexible scheduling. This breadth of time-off options provides greater flexibility compared with traditional accrual systems.

Mattel Insights

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The Company
HQ: El Segundo, CA
10,467 Employees
Year Founded: 1945

What We Do

We are a purpose driven company with a mission to create innovative products and experiences that inspire, entertain, and develop children through play. We treat play as if the future depends on it — because it does. Play is our language, and we speak to our consumers authentically by representing the world as they see and imagine it. Mattel is a leading global toy company and owner of one of the strongest catalogs of children’s and family entertainment franchises in the world. We engage consumers through our portfolio of iconic brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Monster High and MEGA, as well as other popular intellectual properties that we own or license in partnership with global entertainment companies. Our offerings include film and television content, gaming and digital experiences, music, and live events. We operate in more than 35 locations and our products are sold in more than 150 countries in collaboration with the world’s leading retail and ecommerce companies. Mattel is recognized for the second year in a row as a Great Place to Work™ and as one of Fast Company’s Best Workplaces for Innovators in 2022.

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