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AI Platform Engineer

Digital spidy HR Consultancies LLC
Abu Dhabi, UAE
Full-time
Mid-Senior
Onsite
AED 9,000/month
Discovered 2 weeks ago
PythonBackend engineeringPlatform engineeringApplied AI developmentAPIs and servicesLLM-powered applications, AI agents, or generative AI services

Full Job Posting

Role overview

AI Platform Engineer role requiring 2–3 years of relevant experience.

The role is suited to experience in backend engineering, platform engineering, software engineering, or applied AI development.

Required skills and qualifications

  • Strong Python programming, including development of APIs, services, or reusable packages.
  • Practical exposure to building or integrating LLM-powered applications, AI agents, or generative AI services.
  • Familiarity with LangChain, LangGraph, or similar agent and workflow orchestration frameworks.
  • Working knowledge of prompt engineering, RAG patterns, embeddings, tool calling, and AI workflow orchestration.
  • Understanding of REST APIs, microservices, asynchronous processing, and distributed-systems concepts.
  • Familiarity with Git, automated testing, CI/CD, and containerization.
  • Understanding of application logging, monitoring, tracing, and observability.
  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline, or equivalent practical experience.

Pay

  • Pay is AED 9,000–12,000 per month.

Workplace

  • Work location is in person.

Responsibilities

  • Develop backend, platform, and applied-AI capabilities, including APIs, services, or reusable software packages.
  • Build or integrate LLM-powered applications, AI agents, and generative AI services.
  • Implement AI workflows using prompt engineering, RAG, embeddings, tool calling, and orchestration frameworks.
  • Develop or integrate REST APIs and microservices, accounting for asynchronous processing and distributed systems.
  • Apply software engineering practices such as version control, automated testing, CI/CD, and containerization.
  • Support application logging, monitoring, tracing, and observability.

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