Sr. Specialist, Full Stack AI

Sr. Specialist, Full Stack AI

Relocation Assistance Offered Within Country
Job Number #175410 - Mumbai, Maharashtra, India

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

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.

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.


Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

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Experience Level

Senior Level