Fullstack AI Engineer – Staff, IFS Logistics
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Job Description
Staff Fullstack AI Engineer shaping the Experience layer of IFS’s AI-native logistics platform. Building unified identity, integrations, and safe agentic product experiences.
Responsibilities:
- Set the technical direction for the Experience squad
- Help build the squad, establish its architecture and standards, and remain accountable for its deliverables
- Design the end-to-end user journey across Data Connect, TPAO, Shipper TMS and Revenue Protect
- Define identity, permissions and navigation models across product areas
- Design technical architecture connecting Experience to integrated systems, including service boundaries and contracts
- Work with Product and UX from problem definition through delivery
- Understand customer workflows and use customer feedback to shape product development
- Build SSO, tenancy and permissions
- Develop and maintain a commercially important demo environment
- Integrate IFS Intelligence and IFS Cloud, including Project Oliver embedding
- Define agent placement, guardrails, observability and cost controls for safe agentic behavior
- Act as the squad's technical voice to the VP Product and Director of Software Architecture
- Review React and Django code
- Ship observable, cost-controlled production surfaces
- Establish code review for all merge requests and prevent direct-to-production changes
- Raise engineering standards through review, pairing and feedback
Requirements:
- Around eight years or more building and running production software
- Real depth in Python/Django REST API design, data modelling and service reliability
- Experience setting technical direction for a team
- Strong performance, cost and observability skills
- Experience owning production on-call responsibilities
- Fullstack experience and comfort with React
- User-minded approach to frontend work
- Experience with code review, pairing and providing feedback
- Practical experience building with Cursor and Claude daily
- Ability to provide agents with appropriate context and evaluate their output
- Experience with multi-tenant enterprise SaaS, SSO/identity, or ERP integration is nice to have
- Production experience with LLM agent orchestration, RAG or evals is nice to have
- Experience shipping agents into products is nice to have
- Simulation or scenario modelling experience is nice to have
- Familiarity with BigQuery, dbt, Pub/Sub, GCP, Kubernetes and Terraform is nice to have
- Logistics, supply chain or freight experience is nice to have
Benefits:
- Remote work opportunities
- Flexible and hybrid work opportunities
- Inclusive workplace experiences
- Opportunity to work in a global, diverse environment
- Commitment to sustainability
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