Stafnear

We're looking for an AI & Data Engineer to build the data and AI backbone of a livestream shopping and social marketplace platform for the Middle East - one that combines real-time auctions and social engagement into a single automated, data-driven product.

The audience pipelines, personalization logic and AI agents for this platform don't exist yet. You build them from scratch and own how they run in production.

What you'll do

Growth Data Activation (MarTech)

• Build automated audience pipelines from the warehouse into marketing platforms - Meta CAPI, Google Ads, Braze, Customer.io, WhatsApp API.

Lifecycle Automation & Personalization

• Design behavior-based triggers (cart abandonment, livestream reminders) and ranking/recommendation logic for products and live shows.

Practical AI Integration

• Deploy production-ready LLM workflows and AI agents for operational needs - seller onboarding, content moderation, automated customer support - with proper cost and evaluation guardrails.

Who we're looking for

Must have:

• 3-4 years of experience in Data Engineering, Software Engineering, or Data Architecture.
• Strong, production-grade Python and SQL.
• Proven experience building OLAP data warehouses (ClickHouse, BigQuery, Snowflake, Redshift etc)
• Experience with event tracking and identity resolution - Segment, RudderStack, PostHog.
• Practical experience integrating LLMs/RAG into real production systems - not just prompts or demos.

We're looking for an AI & Data Engineer to build the data and AI backbone of a livestream shopping and social marketplace platform for the Middle East - one that combines real-time auctions and social engagement into a single automated, data-driven product.

The audience pipelines, personalization logic and AI agents for this platform don't exist yet. You build them from scratch and own how they run in production.

What you'll do

Growth Data Activation (MarTech)

• Build automated audience pipelines from the warehouse into marketing platforms - Meta CAPI, Google Ads, Braze, Customer.io, WhatsApp API.

Lifecycle Automation & Personalization

• Design behavior-based triggers (cart abandonment, livestream reminders) and ranking/recommendation logic for products and live shows.

Practical AI Integration

• Deploy production-ready LLM workflows and AI agents for operational needs - seller onboarding, content moderation, automated customer support - with proper cost and evaluation guardrails.

Who we're looking for

Must have:

• 3-4 years of experience in Data Engineering, Software Engineering, or Data Architecture.
• Strong, production-grade Python and SQL.
• Proven experience building OLAP data warehouses (ClickHouse, BigQuery, Snowflake, Redshift etc)
• Experience with event tracking and identity resolution - Segment, RudderStack, PostHog.
• Practical experience integrating LLMs/RAG into real production systems - not just prompts or demos.

This role is more focused on backend development with Node.js and TypeScript, but it also requires React experience so you can handle your frontend tasks independently rather than relying on a frontend developer.

Infrastructure and production environments are handled by a separate DevOps team, so your focus will remain on application development rather than production support or infrastructure management.

Responsibilities

1. Design, develop, and maintain backend services throughout the full development lifecycle
2. Assist with frontend implementation when needed to deliver product features
3. Release new functionality and monitor feature stability after deployment
4. Work closely with Product, Platform, and Reliability teams
5. Contribute to technical improvements and enhancements within the existing architecture

Tech Stack

Node.js, TypeScript, React, Redis, MySQL, PostgreSQL, Elasticsearch, Kafka/RabbitMQ, monitoring and observability tools

Requirements

• Strong hands-on commercial experience with Node.js and TypeScript
• Experience with React and modern frontend engineering practices
• Solid experience with databases, caching, and data management approaches
• Experience investigating and resolving issues in distributed environments
• A product ownership mindset, with the ability to take features from concept to production
• English communication skills for daily collaboration and team meetings

Nice to Have

Experience with microservice architectures and API development

Experience with Docker and Kubernetes

Knowledge of application performance tuning and optimization

Basic understanding of Linux and networking

Familiarity with clean architecture principles and testing methodologies

What the Company Offers

• Fully remote work environment with a flexible schedule
• Paid vacation and days off
• Salary reviews twice a year
• B2B/contractor cooperation model with accounting support
• An opportunity to work on a large-scale product and influence technical direction