About the Role

At Colgate-Palmolive, our technology teams are dedicated to driving growth and digital innovation through cutting-edge solutions. We foster a workplace that encourages creative thinking, experimentation, and authentic collaboration across global teams.

As a Senior Expert Full Stack Developer, you will lead the end-to-end design, development, and production deployment of scalable web applications and intelligent AI solutions within our Global Technology (R&D) landscape. We are looking for a hands-on builder who excels at core full-stack software engineering and possesses proven experience architecting, deploying, and scaling Agentic AI systems and LLM workflows. Experience leveraging low-code platforms like Retool to accelerate business delivery is a strong secondary advantage.

Key Responsibilities

1. Full Stack Application Engineering

• Design, architect, and maintain robust, end-to-end full-stack applications (front-end, back-end APIs, microservices) across the enterprise.

• Ensure all application architectures are secure, scalable, performant, and aligned with enterprise standards.

• Optimize relational database schemas, complex queries, and server-side logic for high performance.

2. Agentic AI & AI Systems Deployment

• Architect, build, and deploy production-ready AI solutions, including Agentic workflows, autonomous agent frameworks, and multi-step reasoning systems.

• Integrate model APIs, LLM orchestrations, RAG (Retrieval-Augmented Generation) architectures, and vector search systems into core business applications.

• Implement robust observability, automated testing, CI/CD, and performance monitoring for deployed AI and ML models.

• Drive prompt engineering strategies, tool-calling mechanisms, and fine-tuning pipelines to automate complex enterprise workflows.

3. Low-Code & Rapid Delivery

• Utilize Retool (or similar low-code platforms) to rapidly construct internal tools, dashboards, and custom interfaces that accelerate delivery.

• Combine custom code and APIs with low-code components to empower business teams with self-service AI capabilities.

4. Leadership & Technical Governance

• Provide technical leadership, architectural guidance, and code reviews across global Agile Scrum teams.

• Mentor junior engineers and citizen developers on full-stack, AI integration, and code quality best practices.

• Partner closely with product owners, business analysts, and data science teams to convert complex requirements into high-impact software solutions.

Basic Qualifications

• Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related technical field.

• Experience:

  • 6+ years of professional experience designing, building, and deploying scalable full-stack web applications.

• AI & Agentic AI Systems: Practical experience building and deploying production AI/LLM solutions, including multi-agent systems, tool usage/function calling, RAG architectures, and API integrations.

• Orchestration Frameworks: Hands-on familiarity with modern AI orchestration and agent frameworks (e.g., LangChain, AutoGen, CrewAI, LlamaIndex, or custom agentic workflow engines).

• Backend & Data: Deep proficiency in Python (Django, FastAPI, or Flask) alongside relational database design (SQL optimization, data modeling).

• Frontend: Strong experience building modern user interfaces using JavaScript/TypeScript frameworks (React, Angular, or Vue).

• Cloud & DevOps: Hands-on experience with cloud platforms (AWS, Azure, or GCP), Git version control, and DevSecOps/CI-CD practices.

• Engineering Culture: Solid understanding of Test-Driven Development (TDD), web security, networking, and system debugging.

Preferred Qualifications

• Low-Code Experience: Prior experience leveraging Retool or similar platforms to build low-code internal applications and admin panels.

• Vector Databases & Search: Experience with specialized vector databases (e.g., Pinecone, Qdrant, Milvus, Weaviate) or hybrid search setups.

• Infrastructure: Experience with containerization and orchestration tools like Docker and Kubernetes.

• Distributed Systems: Experience with event-driven architecture, streaming data pipelines, and real-time analytics.

• Methodology: Experience working in global cross-functional Agile/Scrum teams.