AI Engineer (Junior–Mid Level) — Data Analytics & Internal AI Solutions

About the role

We're looking for a junior-to-mid level AI Engineer with a strong data analytics / data engineering foundation to design and build internal AI-powered solutions — including AI-assisted CRM workflows, business process automation, and agentic tools that support internal teams.

Key responsibilities

• Design, build, and maintain internal AI-powered tools (CRM copilots, workflow automation, reporting assistants, agentic services) for internal business users
• Build and maintain data pipelines that feed AI/analytics solutions — extraction, transformation, cleaning, and aggregation from systems like ERP, CRM, OMS, and e-commerce platforms
• Integrate LLM APIs (e.g., Claude, OpenAI) and agent frameworks into internal tools, with attention to prompt design, tool/function calling, and structured outputs
• Develop AI native dashboards and reporting layers to surface actionable retail/e-commerce metrics (sales, inventory, order status, customer segments)
• Automate repetitive internal workflows (approvals, data entry, reporting, ticket triage, follow-ups) using scripting and agentic orchestration
• Collaborate with internal stakeholders (Execs, sales, ops, finance, logistics, marketing, etc.) to translate business needs into technical requirements
• Ensure data quality, security, and governance across internal AI tools, particularly around sensitive business and customer data
• Document architecture, data flows, and solution logic for maintainability

About you

• Junior-to-mid level AI Engineer with a strong data analytics / data engineering foundation
• Retail or e-commerce industry experience (understanding order/inventory data, sales cycles, customer lifecycle, and operational reporting)
• Manufacturing industry background (production data, supply chain, inventory/BOM structures) is a strong plus
• Comfortable working across the stack — from cleaning and modeling data, to integrating LLM-based agents, to shipping automation that internal stakeholders actually use