Description :

Drive E-Commerce Innovation with AI at In-common

Youll build and deploy intelligent agents for global consumer brands, automating tasks from pricing and cataloging to marketing and demand forecasting.

Key Responsibilities :

- Create and deploy AI agents for pricing, forecasting, and catalog automation tasks

- Integrate Large Language Models (LLMs) and vision models via APIs

- Set up Retrieval-Augmented Generation (RAG) pipelines for multilingual search

- Develop and test prototypes in Python, track outcomes using Lang Smith and Weights & Biases

- Collaborate with brand teams to design agent capabilities and workflows

- Optimize for low-latency inference and scalable deployment on cloud infrastructure

Requirements :

- 3-6 years of experience building and deploying AI agents in production, preferably in e-commerce or retail

- Hands-on experience with agent frameworks, LLMs, and vision models

- Strong skills in RAG, prompt engineering, Python, and cloud infrastructure

- Proven ability to work cross-functionally with engineers and business teams

Good To Have :

- Experience with Shopify, Shopee, or Amazon integrations

- Familiarity with fine-tuning LLMs, building multimodal agents, or applying Reinforcement Learning for optimization

- Contributions to open-source or published AI projects