Senior AI Platform Engineer - LLM Infra Architect

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

Abu Dhabi

Sur place

AED 320 000 - 520 000

Plein temps

Il y a 2 jours
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Résumé du poste

RiDiK, a subsidiary of CLPS, is seeking a Senior AI Platform Engineer in Abu Dhabi to join our backend/platform team. You will design and implement scalable AI infrastructure, build LLM-powered platforms, and create reusable Python frameworks and APIs.

You will work with LangChain or similar orchestration tools, focusing on prompt engineering, embeddings, retrieval, and agent workflows while ensuring robust logging, monitoring, and CI/CD practices in a distributed environment.

Qualifications

  • 5-6 years of backend/platform engineering or AI development experience.
  • Strong Python programming to build platform frameworks, SDKs, APIs, and reusable components.
  • Hands-on experience with LLM-powered platforms and AI infrastructure.
  • Experience with LangChain, LangGraph, or similar orchestration frameworks.
  • Deep knowledge of prompt engineering, RAG, embeddings, retrieval and reranking, tool integration, and agent workflows.
  • Experience designing microservices, asynchronous processing, APIs, and scalable distributed systems.
  • Solid software engineering practices including design patterns, testing, code review, CI/CD, and containerization.
  • Familiarity with logging, monitoring, distributed tracing, evaluation, and performance management for AI systems.
  • Bachelor’s degree or equivalent practical experience in CS/SE/AI.

Connaissances

Advanced Python
LLM platforms
LangChain/LangGraph
Prompt engineering
Microservices design
CI/CD
Logging/monitoring
Distributed systems

Formation

Bachelor’s degree in CS/SE/AI

Outils

Docker
Kubernetes

Description du poste

RiDiK, a subsidiary of CLPS, is seeking a Senior AI Platform Engineer in Abu Dhabi to join our backend/platform team. You will design and implement scalable AI infrastructure, build LLM-powered platforms, and create reusable Python frameworks and APIs.

You will work with LangChain or similar orchestration tools, focusing on prompt engineering, embeddings, retrieval, and agent workflows while ensuring robust logging, monitoring, and CI/CD practices in a distributed environment.

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