Jr. Fullstack Gen AI Engineer
IT Centre Bengaluru GDTC, India
Full Time
1 week ago
Key skills
PythonRAIMachine LearningMLDeep LearningNLPGenerative AIGenAILLMLarge Language ModelsLangChainPyTorchTensorFlowHugging FaceMLOpsLangGraphPineconeWeaviateDatabricksFastAPIFlaskAWSAzureGCPKubernetesDockerCI/CDLeadershipCollaboration
About this role
Jr. Fullstack Gen AI Engineer
Job Description
You were made to do this work: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part of a performance culture dedicated to building technology for a purpose that matters. You want to work in an environment that promotes sustainability, inclusion, wellbeing, and career development. 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: Jr. Fullstack Generative AI Engineer to build the development of cutting-edge GenAI solutions that solve real-world business problems on a 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.
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.
Design and Architecture:
Evaluate and select appropriate foundation models (open-source or commercial) based on business needs and constraints.
Model Development and Fine-Tuning: 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.
LLMOps and Deployment: 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).
Observability and Governance: 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.
Collaboration and Mentorship: 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.
R&D and Innovation: 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 (hybrid) 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:
Must Have:
Bachelor’s or master’s degree in computer science, Engineering, or a related field.
2+ years of experience in machine learning, deep learning, or NLP, with 1+ 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.
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