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Senior Backend Engineer – AI Platform Architecture

ai71 · Abou Dabi

جديد
Senior 🇬🇧 English
Data lakehouse connectivity Rate limiting Caching Data normalization RBAC PII/ITAR redaction

وصف الوظيفة

About the role

AI71 is looking for a Senior Backend Engineer to design and implement the core architecture that powers EDGE Group’s AI transformation. You will be the technical anchor for the "Workstream 2: Build" program, creating secure, high‑performance microservices that enable large language models to interact with critical enterprise systems.

Key responsibilities

  • Architect and build the orchestration layer that coordinates specialized AI agents, handling state, routing, and error management.
  • Design and implement API gateways and data‑access layers for secure connectivity to SAP S/4HANA, Ariba, and central data‑lakehouse platforms.
  • Develop backend logic for vector databases (e.g., Weaviate) and retrieval‑augmented generation models to support knowledge‑mining chatbots.
  • Create robust connectors for external data feeds such as S&P Global and Orbis, managing rate limiting, caching, and normalization.
  • Implement defense‑grade security controls, including authentication, RBAC, and PII/ITAR redaction, for on‑premise or air‑gapped deployments.
  • Ensure reliability through comprehensive logging, tracing, monitoring, and observability aligned with EDGE security policies.

Required profile

  • Proven senior‑level experience designing and delivering secure, containerized microservices at scale.
  • Deep understanding of enterprise integration patterns, especially with SAP S/4HANA and data‑lakehouse environments.
  • Experience building on‑premise, GPU‑accelerated systems for defense or highly regulated domains.
  • Strong background in implementing robust security and compliance mechanisms (RBAC, ITAR, PII handling).

Required skills

  • Microservices architecture and containerization (Docker, Kubernetes)
  • API gateway development and secure data‑access layers
  • Integration with SAP S/4HANA and Ariba
  • Data‑lakehouse connectivity and authentication/authorization
  • Vector databases (Weaviate) and Retrieval‑Augmented Generation (RAG)
  • External API integration, rate limiting, caching, data normalization
  • Defense‑grade security practices (RBAC, PII/ITAR redaction)
  • Observability tooling (logging, tracing, monitoring)

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