Fullstack AI Engineer – Staff, IFS Logistics

This is a fully remote position, open to applicants in United Kingdom, +1 more country.

📋 Description

• Define the technical vision, architecture, and standards for the new Experience squad.

• Develop and manage the squad's API v3 service boundaries.

• Create shared identity, permissions, navigation, SSO, and tenancy models across various product areas.

• Build and sustain a commercially significant demo environment.

• Integrate IFS Intelligence and IFS Cloud, including the embedding path for Project Oliver.

• Establish agent placement, guardrails, observability, and cost controls to ensure safe agentic behavior.

• Serve as the squad's technical liaison to the VP of Product and Chief Architect.

• Remain actively involved in backend and fullstack engineering tasks.

• Review implementations in React and Django.

• Create a documented technical approach to be utilized by the engineering team as a reference.

• Deliver observable, cost-controlled API v3 surfaces, SSO, and cross-product permissions.

• Implement code review practices and avoid direct-to-production approaches.

• Elevate the engineering standards among squad members.

⛳️ Requirements

• Approximately eight years or more of experience in building and managing production software.

• In-depth knowledge of Python/Django REST API design, data modeling, and service reliability.

• Proven experience in setting the technical direction for a team.

• Strong skills in performance, cost management, and observability.

• Experience with on-call/pager responsibilities.

• Proficient in React and committed to enhancing frontend standards.

• Familiar with code review processes, pairing, and providing constructive feedback.

• Daily hands-on experience with Cursor and Claude.

• Capable of providing context to AI agents and assessing their outputs.

• Experience with multi-tenant enterprise SaaS, SSO/identity, or ERP integration is a plus.

• Familiarity with LLM agent orchestration, RAG, or production evaluations is advantageous.

• Experience in deploying agents into products is desirable.

• Background in simulation or scenario modeling is a plus.

• Knowledge of BigQuery, dbt, Pub/Sub, GCP, Kubernetes, or Terraform is beneficial.

• Experience in logistics, supply chain, or freight is a plus.

🏝️ Benefits

• Options for remote work.

• Flexible and hybrid working arrangements.

• Experiences in an inclusive workplace.

• Opportunity to engage in a global, diverse environment.

• Commitment to sustainability initiatives.

• Professional development opportunities through reviews, pairing, and feedback.

• Collaboration with a global team and meaningful workplace relationships.