Senior AI Platform Engineer
Job in
Abu Dhabi, UAE/Dubai
Listed on 2026-10-14
Listing for:
RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
Full Time
position Listed on 2026-10-14
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software, DevOps
Job Description & How to Apply Below
Senior AI Platform Engineer
Location:
Abu Dhabi Exp: 5+yrs Required
Skills and Qualifications
- 5-6 years of relevant experience in backend engineering, platform engineering, distributed systems, or applied AI development.
- Advanced Python programming skills, including experience building platform frameworks, SDKs, APIs, and reusable packages.
- Hands-on experience designing and building LLM-powered platforms, AI infrastructure, agent-based systems, or production generative AI services.
- Strong practical experience with Lang Chain, Lang Graph, or similar agent and workflow orchestration frameworks.
- Deep understanding of prompt engineering, RAG architectures, embeddings, retrieval and reranking, tool integration, memory, and agent workflows.
- Proven experience designing microservices, asynchronous processing patterns, APIs, and scalable distributed systems.
- Strong command of software engineering practices, including design patterns, automated testing, code review, CI/CD, and containerization.
- Strong understanding of logging, monitoring, distributed tracing, evaluation, and performance management for AI systems.
- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline, or equivalent practical experience.
- Experience designing vector database, semantic search, and enterprise retrieval pipelines.
- Experience implementing AI observability and evaluation using Langfuse, Lang Smith, or equivalent tools.
- Experience integrating multiple LLM providers and self-hosted or open-source models, including routing and fallback patterns.
- Experience building internal AI platforms, reusable Python frameworks, or developer tooling used by multiple engineering teams.
- Experience with Docker, Kubernetes, cloud-native architectures, infrastructure automation, and secure secrets and API management.
- Knowledge of responsible AI, model governance, data privacy, access control, and enterprise security requirements.
Position Requirements
10+ Years
work experience
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