About The Company
Kimberly-Clark is a globally recognized leader in the manufacturing of essential personal care and hygiene products. With a rich history spanning over 150 years, the company has built a reputation for innovation, quality, and sustainability. Its iconic brands, including Huggies, Kleenex, Cottonelle, Scott, Kotex, Poise, and Depend, are trusted by millions of consumers worldwide. Kimberly-Clark’s commitment to improving lives extends beyond product excellence to fostering a diverse, inclusive, and sustainable workplace. The company continuously invests in research and development to create innovative solutions that meet the evolving needs of its customers, emphasizing environmental responsibility and social impact. Kimberly-Clark’s mission is to Better Care for a Better World, and it strives to empower its employees to make meaningful contributions through their expertise and dedication.
About The Role
The Technical Lead - Spec role at Kimberly-Clark is a pivotal position designed for a seasoned full-stack developer with a strong focus on cloud-based generative AI and agentic workflows. This role involves advancing or devising new products, components, systems, and technologies that enhance the company’s innovative offerings. The successful candidate will be responsible for building scalable, high-performance front-end and back-end systems that integrate cutting-edge AI capabilities, including GenAI and multi-agent orchestration. They will work closely with AI researchers and cross-functional teams to develop APIs, user interfaces, and real-time data processing solutions that support autonomous agent behaviors, reasoning flows, and tool access. This position offers an exciting opportunity to contribute to transformative AI projects that drive business impact and improve consumer experiences globally. The role requires a blend of technical expertise, strategic thinking, and collaborative spirit to deliver innovative solutions aligned with Kimberly-Clark’s mission and values.
Qualifications
The ideal candidate will possess a combination of technical skills, experience, and soft skills that align with the company's innovative environment:
- Minimum of 7+ years of full-stack development experience with a focus on cloud technologies and services.
- Hands-on experience with generative AI using cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- Proficiency in TypeScript and Next.js for front-end development.
- Strong expertise in React for UI development.
- Solid programming skills in Python and experience with FastAPI for REST API development.
- Experience with open-source frameworks such as LangChain, LangGraph, or CrewAI.
- Knowledge of SQL and NoSQL databases for data management.
- Familiarity with CI/CD pipelines and best practices for continuous integration and deployment.
- Fluent in English, with excellent communication skills.
Nice-to-have qualifications include experience with Node.js, Docker, Kubernetes, cloud-native DevOps practices, agentic orchestration, prompt chaining, latency tuning, and working with vector databases like Pinecone, FAISS, Chroma, or Weaviate.
Responsibilities
- Design, develop, and maintain front-end components using React, TypeScript, and Next.js that seamlessly integrate with back-end services.
- Build robust, scalable APIs utilizing Node.js, Python, and FastAPI to support GenAI-powered interactions, real-time data processing, and agent communication.
- Create intuitive user interfaces for autonomous agents, enabling dynamic tool access, reasoning flows, and autonomous behaviors.
- Integrate various AI frameworks and services, including LangChain, LangGraph, CrewAI, Azure AI Foundry/Services, Hugging Face, and vector databases.
- Design and implement real-time APIs using REST and GraphQL for low-latency agent interactions, tool execution, and memory management.
- Deploy, monitor, and scale AI services using Docker, Kubernetes, and CI/CD pipelines, adhering to MLOps best practices.
- Collaborate with AI research teams on multi-agent orchestration experiments to enhance system capabilities.
- Document technical specifications, processes, and workflows to ensure clarity and knowledge sharing across teams.
- Stay updated with emerging AI technologies and frameworks, exploring new agent frameworks and latency optimization techniques.
Benefits
Kimberly-Clark offers a comprehensive benefits package designed to support your health, well-being, and professional growth. You will have access to medical, dental, and vision coverage options with no waiting periods or restrictions related to pre-existing conditions. The company provides on-site fitness centers, occupational health services, and allowances for safety equipment to promote a healthy lifestyle. Flexible savings and spending accounts allow you to optimize healthcare expenses for yourself and your dependents.
In addition, Kimberly-Clark offers diverse income protection insurance options to safeguard against unforeseen events such as illness or injury. The organization also provides programs and support for continuing education, child adoption, relocation, and temporary childcare, fostering a balanced and fulfilling work-life experience. These benefits are part of the company's commitment to creating an inclusive environment that values your contributions and supports your personal and professional development.
Equal Opportunity
Kimberly-Clark is an equal opportunity employer committed to fostering an inclusive workplace that reflects the diversity of its consumers and communities. The company
