Jr. Fullstack Gen AI Engineer

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

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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-C...