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AI/ML Engineer - Remote

YO IT Consulting
Riyadh, KSA
fulltime
Entry
2 months ago
AWSAzureCI/CDDevOpsMachine LearningREST API
Free

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Job Summary

Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities

  • Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  • Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  • Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  • Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  • Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  • Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

Required Skills And Qualifications

  • Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  • Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  • Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  • Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  • Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  • Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  • Exceptional written and verbal communication skills for effective collaboration and documentation.

Preferred Qualifications

  • Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  • Prior exposure to government or highly regulated cloud environments and compliance standards.

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