Artificial Intelligence Engineer - Data Modeling

Role Overview

Key Responsibilities

• Enhance team efficiency by identifying and implementing AI tools and techniques to expedite coding and automate repetitive tasks.
• Design and deploy RAG pipelines and AI-driven automation systems to optimize business operations and improve customer experiences.
• Explore and apply Agentic AI, identifying practical use cases and building autonomous AI agents to deliver measurable business value.
• Collaborate with stakeholders to identify AI opportunities that align with business goals and operational needs.
• Translate business workflows and challenges into AI-driven solutions that improve efficiency and decision-making.
• Develop and refine AI-powered chatbots, recommendation systems, and personalization engines to enhance customer engagement and retention.
  

Required Skills & Qualifications

• Strong understanding of Generative AI, LLMs, RAG pipelines, and Agentic AI with proven ability to apply them in real-world use cases.
• Experience in building AI-powered applications such as chatbots, recommendation systems, or personalization engines.
• Ability to evaluate and integrate automation tools to improve internal team efficiency and streamline workflows.
• Strong problem-solving skills with the ability to translate complex business challenges into AI-driven solutions.
• A collaborative mindset with experience working closely with cross-functional teams (tech, product, operations, and marketing).
• Experience in eCommerce AI solutions (recommendation engines, personalization, customer support chatbots).
• Excellent communication skills to clearly explain AI concepts, trade-offs, and solutions to both technical and non-technical stakeholders.
• Curiosity, adaptability, and a forward-looking approach to continuously explore emerging AI trends and tools for business impact.