Job Description

Established in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries and territories under such internationally recognised brand names as Colgate, Palmolive, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom's of Maine, Sanex, Ajax, Axion, Soupline, Haci Sakir, Suavitel, PCA SKIN, EltaMD, Filorga and Hello as well as Hill's Science Diet and Hill's Prescription Diet.

Colgate-Palmolive is a leading consumer products company that serves hundreds of millions of consumers worldwide with brands and products across four core businesses – Oral Care, Personal Care, Home Care and Pet Nutrition. We are committed to offering products that make lives healthier and more enjoyable, and programmes that enrich communities around the world.

Every day millions of people trust our products to care for themselves and the ones they love. Our goal is to use our technology to create products that will continue to improve the quality of life for our consumers wherever they live.

A career at Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness.

Information at a Glance

Job Title: Campus Associate

Travel Required?: No Travel

Posting Start Date: 17/06/2026

Hybrid

Relocation Assistance Offered Within Country
Job Number #174103 - Mumbai, Maharashtra, India

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising 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.

Job Description

Title: GIT Campus Associate

Brief introduction - Role Summary/Purpose:

We are looking for an LLM-native builder to develop autonomous agentic products for our global Marketing and Sales teams. In this role, you will steer Large Language Models (LLMs) beyond simple chat, turning them into proactive "Agents" that can plan, reason, and execute multi-step tasks across our digital ecosystem. You will leverage low-code platforms for rapid orchestration while utilizing your technical full-stack depth to optimize LLM performance and build custom production wrappers. Your ultimate goal is to bridge the gap between advanced AI reasoning and real-world marketing automation and sales intelligence.

Responsibilities:

Agentic System Design & Orchestration: Build and deploy autonomous agents capable of Reasoning + Action (ReAct), designing complex chains and loops using low-code tools or advanced frameworks to maintain long-running state and context.
Prompt Architecture & Tuning: Develop, iterate, and master sophisticated system prompts, few-shot examples, and structured output parsing to ensure high-quality, brand-safe outputs.
RAG Architecture Integration: Implement and optimize Retrieval-Augmented Generation (RAG) to ground LLMs in proprietary business data, ensuring agents provide highly accurate product and sales information.
Full-Stack Productization: Use Python and Node.js to develop the necessary glue-code, custom RESTful APIs, and frontend interfaces required to transform raw LLM workflows into polished, enterprise-ready products.
Domain Evaluation & Quality Control: Apply AI solutions directly to Marketing Automation (content generation, SEO, social listening) and Sales Intelligence while continuously evaluating outputs for alignment with "Brand Voice."
Performance Tracking & Metrics: Monitor, benchmark, and report on LLM performance metrics, token economies, and agent accuracy to continuously refine system behavior.

Required Qualifications:

3 Years of Engineering Experience: Strong proficiency in Python (the language of AI) and JavaScript/TypeScript, with a proven track record of building and consuming RESTful APIs.
Hands-on AI/LLM Expertise: Deep experience working directly with frontier models (such as GPT-4o, Claude 3.5, Gemini) and a strong understanding of their specific strengths, limitations, and operational costs.
Data & Contextual Retrieval: Practical experience working with databases optimized for contextual retrieval and vector-based storage.

Preferred Qualifications:

Agentic Frameworks: Familiarity with advanced agentic concepts (Planning, Memory, Tool-use) and frameworks like LangChain, LangGraph, or CrewAI (whether implemented natively or abstracted via low-code platforms).
Advanced Prompting Techniques: Mastery of advanced prompting methodologies, including Chain-of-Thought (CoT) and Tree-of-Thoughts (ToT).
The "Agent-First" Mindset: Ability to view LLMs as reasoning engines rather than glorified search engines, combined with an experimental "test & learn" approach to rapid AI prototyping.
Communication & Stakeholder Alignment: Strong written and verbal communication skills to effectively translate complex AI capabilities into tangible business outcomes for Sales and Marketing leadership.
Low-Code Speed, High-Code Quality: Highly skilled at using low-code platforms for speed, but possessing the architectural depth to step into the code layer when platform limits are reached.

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, colour, 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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