Senior AI Platform Engineer

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS); Abu Dhabi; On-site; AED 320,000 - 520,000; Full time

Job summary

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.

Skills

Advanced Python

LLM platforms

LangChain/LangGraph

Prompt engineering

Microservices design

CI/CD

Logging/monitoring

Distributed systems

Education

Bachelor’s degree in CS/SE/AI

Tools

Docker

Kubernetes

Job description

Role: 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 LangChain, LangGraph, 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.

Preferred Qualifications

• Experience designing vector database, semantic search, and enterprise retrieval pipelines.
• Experience implementing AI observability and evaluation using Langfuse, LangSmith, 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.