Intermediate/Senior AI Engineer, Data & AI Team, Global eCommerce Platform. Total Annual Compensation upto $80,000 (Negotiate)

At Crossian, AI isn’t a buzzword, it’s our business engine. As we target from a $200M data-driven eCommerce platform toward Unicorn $1B, the Data & AI Team leads the charge by building full-stack AI solutions that power real-time recommendations, dynamic pricing, hyper-personalized storefronts, and GenAI-driven customer experiences across millions of transactions.

As an Intermediate or Senior AI Engineer, you’ll be designing and deploying production-grade AI systems that directly move revenue, shape product strategy, and unlock growth across Global markets. Your models should serve for billions of events,  live traffic, and show up in Company-wide KPOs. Beside, from fine-tuning LLMs to crafting recommendation engines, from designing Retrieval-Augmented Generation (RAG) pipelines to launching scalable microservices, you’ll work in the core Business Enablement (BE) squad alongside Product, Tech, and Marketing in a fast-paced, Agile playground where experimentation, ownership, and impact rule the day.

If you’re ready to jump into real-world AI that delivers tangible outcomes in Global eCommerce, Crossian is your start.

1. Senior AI Engineer

• Lead development of Agentic pipelines for creative assets generation (images, videos, text)
• Design, build, operate and maintain RAG systems 
• Define technical architecture, make key design decisions, and set engineering standards
• Design and manage the knowledge base supporting AI systems.
• Design evaluation pipeline to ensure performance and quality.
• Collaborate with product and business teams to translate requirements into technical solutions

2.Intermediate

• Build and maintain ecommerce chatbot features and conversation flows
• Implement agentic pipelines for automated creative generation
• Integrate LLMs with internal systems and external APIs
• Write tests, documentation, and support production deployments
• Continuously improve model performance based on user feedback and metrics

• Essential Qualifications & Skills
• Bachelor's degree in Computer Science or a related field.
• 5+ years in software engineering, 3+ years focused on ML/AI systems
• Strong Python proficiency; experience with LLM frameworks (LangChain, LlamaIndex, or similar)
• Hands-on experience deploying LLM-based applications to production
• Familiarity with image/video generation models (Stable Diffusion, DALL-E, Runway, etc.)
• Solid understanding of prompt engineering, fine-tuning, and evaluation techniques
• Expertise in designing RAG systems, Agentic pipeline and managing the underlying knowledge base.
• Expertise in MCP designing for standardized tool integration and inter-agent communication
• Experience with ecommerce or conversational AI products

• Language: Professional English proficiency (written and spoken)

• Preferred (Not Required)
• Experience with hosting, managing and fine-tuning in-house LLM models
• Background in multi-modal AI systems
• Experience with data visualization tools, such as AWS QuickSight or Grafana.
• Familiarity with the Agile toolset, such as GitLab, Jira, Confluence, and Slack.

• Competitive Compensation: Base salary plus performance bonuses
• Massive AI Playground: Billions of daily events across text, clickstream, images, and payments ready for experimentation.
• Rapid Career Growth: Clear promotion pathways, GPU credits for side projects, conference budget, and mentorship from senior ML leaders.
• High-Impact Shipping: Your models serve live traffic, influence eight-digit revenue decisions, and feature in company-wide OKRs.
• Ownership Culture: You own your code, experiments, and roadmap and have every opportunity to showcase your capabilities.