Fullstack AI Engineer (Staff) - IFS Logistics
Core
Set technical direction for the Experience squad building the customer-facing layer of an AI-native logistics platform, integrating identity, permissions, and agent workflows.
Role type
Staff Fullstack AI Engineer (Technical Lead)
Builds
End-to-end user journey, SSO/identity layer, demo environment, and agent integration surfaces for enterprise logistics.
Domain
Enterprise SaaS / AI / Logistics
Deliverable
production ML models | product features
Required skills
Python/Django REST API, React/TypeScript, technical architecture, service reliability, performance optimization, observability, AI/LLM agent orchestration, RAG, multi-tenant SaaS design.
Preferred skills
ERP integration, logistics/supply chain domain, simulation/scenario modelling, BigQuery/dbt.
Technologies
React, TypeScript, Node.js, Python, Django REST Framework, BigQuery, dbt, GCP, Kubernetes, Terraform, GitLab CI/CD, Cursor, Claude.
Responsibilities
Define technical approach and architecture for the Experience squad, map end-to-end user journeys, integrate IFS Intelligence and Cloud, implement SSO and cross-product permissions, review code and mentor engineers, ensure cost and performance budgets are met.
Seniority
Staff, hands-on IC with strategic direction setting
