Senior Fullstack Generative AI Engineer

Senior Fullstack Generative AI Engineer

Job Description

You’re not the person who will settle for just any role. Neither are we. Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU. 

In this role, you will:

Senior Fullstack Generative AI Engineer to architect, build, and lead the development of cutting-edge GenAI solutions that solve real-world business problems at scale. This role is ideal for a hands-on AI leader who brings deep expertise in large language models (LLMs), generative models (GANs, VAEs, diffusion models), AI Agents and LLMOps, with a passion for building scalable, responsible, and high-performing Generative AI applications. As a senior technical leader, you will drive the strategy, design, and deployment of GenAI systems, mentor junior engineers, and collaborate with product, data, and platform teams to bring GenAI capabilities into production environments.

• Lead the architecture and development of scalable GenAI solutions including LLMs, multimodal models, retrieval-augmented generation (RAG) systems and AI Agents.

• Evaluate and select appropriate foundation models (open-source or commercial) based on business needs and constraints

• Fine-tune and optimize large language models (LLMs) using techniques like prompt engineering, LoRA, PEFT, reinforcement learning (RLHF), and transfer learning.

• Drive innovation through experimentation with GANs, VAEs, diffusion models, and transformer-based architectures.

• Implement robust LLMOps practices for model lifecycle management, versioning, evaluation, and rollback strategies.

• Lead model deployment using cloud-native tools (Azure [preferred], AWS, GCP) and MLOps platforms (e.g Databricks)

• Develop and Enhance features for AI observability including hallucination detection, prompt drift monitoring, and output explainability etc.

• Champion responsible AI practices, ensuring compliance with privacy, security, and fairness standards.

• Act as a technical mentor and thought leader within the AI/ML engineering team.

• Work closely with business and product stakeholders to translate ambiguous problems into AI-driven solutions

• Stay abreast of the latest advancements in GenAI, LLMs, and deep learning research.

• Publish internal research, prototype new capabilities, and drive knowledge sharing across teams

About Us

Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you.

At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on more than 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark.

Led by Purpose. Driven by You

About You

You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring.  You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.

In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications:

Key Qualifications and Experiences: 

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

• 6+ years of experience in machine learning, deep learning, or NLP, with 2+ years in GenAI/LLM development.

• Proficient in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LangGraph etc.

• Strong experience in training and/or fine-tuning foundation models and integrating them into production pipelines.

• Proven experience in designing and deploying scalable APIs and microservices using FastAPI or Flask.

• Familiarity with vector databases (FAISS, Pinecone, Weaviate), embeddings, and semantic search.

• Hands-on experience with CI/CD, containerization (Docker/Kubernetes), and cloud-based AI infrastructure (Azure [preferred], AWS, or GCP).

• Deep understanding of prompt engineering, model evaluation, observability, and responsible AI.

Preferred Qualifications:

• Experience with large-scale data processing and distributed computing.

• Experience with reinforcement learning and/or unsupervised learning.

• Experience with natural language generation and/or image generation.

• Experience with containerization technologies such as Docker and Kubernetes.

• Experience leading technical teams or AI initiatives end-to-end.

• Exposure to multimodal GenAI (e.g., image, audio, and video generation).

• Familiarity with enterprise-grade data governance and AI risk frameworks.

• Contributions to open-source GenAI/ML projects or research publications.

To Be Considered
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.

In the meantime, please check out the careers website.

And finally, the fine print….

For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world.  We actively seek to build a workforce that reflects the experiences of our consumers.  When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.

The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check.

#LI-Hybrid

Primary Location

IT Centre Bengaluru GDTC

Additional Locations

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time