Jr. Fullstack Gen AI Engineer

Jr.

Fullstack Gen AI Engineer

Job Description

Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional® At Kimberly-Clark, it’s all here for you—innovation, growth, and the chance to make a real impact. 

You were made to create Better Care for a Better World: 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.

Here, you’ll work in an environment that promotes sustainability, inclusion, wellbeing, and career development while you help us deliver better care for billions of people around the world.  It starts with YOU. 

About You

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.

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 for 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.

To succeed in this role, you will need the following qualifications:

Required Qualifications


* 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 a...