Lead AI and Data Platform Engineer

We are seeking an experienced Lead AI & Data Platform Engineer to join an innovative e-commerce and social marketplace platform built for the Middle East. The platform combines livestream shopping, real-time auctions, and social engagement into a highly automated, data-driven ecosystem.

This is a hands-on engineering role focused on building the data and automation engine that powers growth, product recommendations, advanced personalization, and AI-driven experiences.

Key Responsibilities:

• Architect, build, and manage scalable data warehouses using ClickHouse, BigQuery, Snowflake, Redshift, or similar OLAP databases.
• Design and maintain robust data pipelines and event tracking systems across web and mobile applications.
• Build audience activation pipelines from data warehouses to marketing platforms such as Meta CAPI, Google Ads, Braze, Customer.io, and WhatsApp API.
• Develop lifecycle automation solutions including cart abandonment journeys, personalized notifications, and livestream reminders.
• Design and implement recommendation systems and personalization algorithms.
• Deploy and manage production-ready AI solutions, including LLM workflows, RAG systems, and AI agents for operational use cases.
• Ensure data quality, scalability, performance, and cost optimization across the platform.
• Collaborate with business stakeholders and translate technical solutions into measurable business outcomes.

Required Skills:

• 7+ years of experience in Data Engineering, Software Engineering, or Data Architecture.
• Strong production-grade experience with Python and SQL.
• Hands-on experience with Data Warehouses and OLAP technologies such as ClickHouse, BigQuery, Snowflake, or Redshift.
• Experience with Event Tracking and Identity Resolution tools such as Segment, RudderStack, or PostHog.
• Experience with Marketing Automation and Reverse ETL platforms including Braze, Customer.io, Hightouch, or Census.
• Practical experience implementing LLMs, RAG systems, and AI integrations in production environments.
• Strong understanding of scalable data architectures and distributed systems.
• Excellent communication and stakeholder management skills.

Preferred Qualifications:

• Experience in E-commerce, Consumer Applications, or Marketplace platforms.
• Experience with Recommendation Engines and Personalization Systems.
• Experience with Vector Databases and Semantic Search.
• Experience working with real-time media or streaming technologies such as LiveKit or WebRTC.

Pay: ₹100,000.00 - ₹120,000.00 per month

Benefits:

• Health insurance
• Work from home

Work Location: Remote