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.
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Lead the architecture and development of scalable GenAI solutions including LLMs, multimodal models, retrieval-augmented generation (RAG) systems and AI Agents.
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Evaluate and select appropriate foundation models (open-source or commercial) based on business needs and constraints
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Fine-tune and optimize large language models (LLMs) using techniques like prompt engineering, LoRA, PEFT, reinforcement learning (RLHF), and transfer learning.
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Drive innovation through experimentation with GANs, VAEs, diffusion models, and transformer-based architectures.
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Implement robust LLMOps practices for model lifecycle management, versioning, evaluation, and rollback strategies.
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Lead model deployment using cloud-native tools (Azure [preferred], AWS, GCP) and MLOps platforms (e.g Databricks)
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Develop and Enhance features for AI observability including hallucination detection, prompt drift monitoring, and output explainability etc.
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Champion responsible AI practices, ensuring compliance with privacy, security, and fairness standards.
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Act as a technical mentor and thought leader within the AI/ML engineering team.
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Work closely with business and product stakeholders to translate ambiguous problems into AI-driven solutions
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Stay abreast of the latest advancements in GenAI, LLMs, and deep learning research.
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Publish internal research, prototype new capabilities, and drive knowledge sharing across teams
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:
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Bachelor s or master s degree in computer science, Engineering, or a related field.
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6+ years of experience in machine learning, deep learning, or NLP, with 2+ years in GenAI/LLM development.
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Proficient in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LangGraph etc.
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Strong experience in training and/or fine-tuning foundation models and integrating them into production pipelines.
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Proven experience in designing and deploying scalable APIs and microservices using FastAPI or Flask.
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Familiarity with vector databases (FAISS, Pinecone, Weaviate), embeddings, and semantic search.
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Hands-on experience with CI/CD, containerization (Docker/Kubernetes), and cloud-based AI infrastructure (Azure [preferred], AWS, or GCP).
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Deep understanding of prompt engineering, model evaluation, observability, and responsible AI.
Preferred Qualifications:
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Experience with large-scale data processing and distributed computing.
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Experience with reinforcement learning and/or unsupervised learning.
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Experience with natural language generation and/or image generation.
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Experience with containerization technologies such as Docker and Kubernetes.
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Experience leading technical teams or AI initiatives end-to-end.
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Exposure to multimodal GenAI (e.g., image, audio, and video generation).
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Familiarity with enterprise-grade data governance and AI risk frameworks.
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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 .
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
