Intetics

AI Engineer – LLM & RAG Development (3-Month Contract)

Maroc

CDD / ContratTélétravail3–5 ansLicence / Bac+3AnglaisInformatique / IngénierieInformatique / IT

L’essentiel du poste

Résumé par Postule AI

3-month remote contract for an experienced AI Engineer to build Phase 1 of an LLM-powered AI orchestrator for insurance. Requires proven production experience with GenAI, RAG, prompt engineering, and tool integration. Focus on safety, guardrails, and PII redaction in a regulated domain.

Vos missions

  • Design and implement AI orchestrator components including intent extraction, policy engine, planner, and composer LLM
  • Develop output guardrails and PII redaction mechanisms for compliance and security
  • Build retrieval-augmented generation (RAG) system for motor policy Q&A
  • Implement authenticated claim-status lookup with API and tool integration
  • Conduct prompt engineering and optimization for production deployment

Profil recherché

  • You have shipped LLM-based assistants with RAG to production
  • You excel at prompt engineering and safety guardrails implementation
  • You have experience with API integration and tool-calling architectures
  • You are comfortable working in regulated/insurance domains
  • You can work independently in a focused 3-month sprint

Généré automatiquement à partir de l’offre. Postule AI peut se tromper : vérifiez auprès de l’employeur.

Project Overview

Join a 3-month remote contract project (June–July 2026) to build Phase 1 of an AI orchestrator for an insurance domain application. You will develop and deploy LLM-based assistants with production-grade prompt engineering, retrieval-augmented generation (RAG), and safety guardrails.

Main Responsibilities

  • Design and implement AI orchestrator components: intent & slot extraction, policy engine, planner, and composer LLM
  • Develop output guardrails and PII redaction mechanisms to ensure compliance and data security
  • Build basic RAG system for motor policy question-answering capabilities
  • Implement authenticated claim-status lookup functionality with API/tool integration
  • Conduct prompt engineering and optimization for production deployment

Required Skills

  • LLM / GenAI application development – proven experience shipping LLM-based assistants to production
  • Retrieval-Augmented Generation (RAG) – design and implementation
  • Prompt engineering – grounding, guardrails, and output safety
  • API / tool integration – connecting LLMs with external systems
  • Python – primary development language

Nice-to-Have

  • OCI Generative AI platform experience
  • Arabic NLP capabilities
  • Insurance or regulated domain knowledge
  • Advanced guardrails and PII handling expertise

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