AI Engineer - AI Agents for E-commerce | 2-5 YoE | BLR
Michael Page Bangalore
About Our Client
Our client is a well-funded, founder-led technology company building an AI-operated global distribution platform. Founded by a marquee entrepreneur behind one of India's most successful e-commerce companies, the business is reimagining how brands scale across international markets.
With a growing portfolio of global brands and operations across India, Southeast Asia, and the GCC, the company is leveraging AI to transform pricing, catalog, inventory, and marketing decisions, replacing traditional, people-heavy distribution models with autonomous systems.
Job Description
Build & Deploy AI Agents (0→1 Execution)- Design and ship AI agents solving pricing, promotions, and merchandising challenges
- Build systems that automate decisions like dynamic pricing, discounting, and competitor tracking
- Integrate with marketplace APIs (Amazon, Flipkart, Noon, etc.) and deploy production-ready workflows
- Iterate rapidly based on real-world feedback from brand and operations teams
- Create scalable, config-driven systems for onboarding new brands and marketplaces
- Build data pipelines, API abstraction layers, and dashboards for real-time decisioning
- Enable self-serve tools for operations teams across regions
- Debug and fix real-time issues across inventory sync, campaign execution, and cross-border operations
- Build quick-turn solutions like campaign orchestrators, pricing engines, and monitoring systems
- Develop POCs using tools like LangChain, Flowise, Zapier, or n8n
- Test and validate AI use cases with business stakeholders (pricing, merchandising, supply chain)
- Translate prototypes into scalable production workflows
The Successful Applicant
A successful AI Forward Deployed Engineer should have:
- 2-5 years of experience in AI/engineering roles, preferably within e-commerce or retail
- Proven experience building and deploying AI agents or automation workflows using LLMs
- Strong understanding of pricing, merchandising, or performance marketing in marketplaces
- Hands-on experience with APIs, data pipelines, and low-code/no-code tools
- Ability to operate in ambiguity - bridging business needs with technical execution
- Strong stakeholder management and communication skills
- Opportunity to build at the frontier of AI + global commerce
- Direct exposure to high-impact business problems and P&L ownership
- Work closely with top-tier founders and leadership
- Fast-paced, high-ownership environment with rapid learning and growth
- Chance to shape how AI transforms global retail at scale
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