AI PLATFORM ENGINEER

AI Platform Engineer

Role purpose

Build and enhance the reusable platform capabilities that enable engineering teams to develop deploy operate and scale secure AI agents and LLM-powered applications.

Job Summary

We are seeking a motivated AI Platform Engineer with 2-3 years of relevant backend platform or applied AI engineering experience. The role will contribute to the organizations AI platform by implementing reusable components orchestration workflows model and tool integrations and operational capabilities for production-grade AI systems. The successful candidate will work closely with Applied AI Engineers software engineers and platform teams to accelerate the delivery of reliable observable and scalable AI-powered solutions.

Key Responsibilities

• Contribute to the design development and maintenance of the shared AI platform used to build and deploy AI agents and LLM-powered services.
• Implement agent orchestration workflows using LangChain LangGraph or comparable frameworks.
• Develop reusable Python libraries SDKs templates and APIs that simplify integration with models tools data sources and internal systems.
• Build and maintain integrations with commercial and locally hosted LLMs embedding models vector stores and internal AI services.
• Implement platform capabilities for prompt and configuration management tool invocation memory and state handling agent execution and evaluation.
• Integrate observability and evaluation tools such as Langfuse or equivalent platforms to monitor prompts traces latency quality token usage and cost.
• Support retrieval-augmented generation (RAG) pipelines including document ingestion indexing retrieval and response grounding.
• Improve platform reliability scalability security and performance through testing automation monitoring and engineering best practices.
• Collaborate with Applied AI Engineers and product teams to translate application requirements into reusable platform capabilities.
• Produce clear technical documentation and contribute to code reviews automated testing CI/CD and release activities.

Required Skills and Qualifications

• 2-3 years of relevant experience in backend engineering platform engineering software engineering or applied AI development.
• Strong programming skills in Python including experience developing 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 software engineering practices including Git automated testing CI/CD and containerization.
• Understanding of application logging monitoring tracing and observability principles.
• Bachelors degree in Computer Science Software Engineering Artificial Intelligence or a related discipline or equivalent practical experience.

Preferred Qualifications

• Experience with vector databases semantic search or document ingestion pipelines.
• Exposure to AI observability and evaluation platforms such as Langfuse LangSmith or equivalent tools.
• Experience integrating with LLM providers such as Azure OpenAI/OpenAI Anthropic or locally hosted open-source models.
• Experience building reusable Python libraries internal developer platforms or developer tooling.
• Familiarity with Docker Kubernetes cloud platforms and secure secrets and API management.
• Awareness of responsible AI model governance data privacy and security principles.

Key Competencies

• Problem solving: Approaches ambiguous technical challenges methodically and proposes practical solutions.
• Learning agility: Keeps pace with a rapidly evolving AI ecosystem and applies new concepts thoughtfully.
• Collaboration: Works effectively across engineering product architecture security and operations teams.
• Quality and reliability: Takes ownership of maintainable code testing documentation and production readiness.
• Communication: Explains technical decisions clearly and documents platform capabilities for other engineers.

Location: Abu Dhabi UAE (on-site) Duration: 3 months Start: ASAP subject to security clearance Language: Arabic speakers preferred

Vertical:

Technology