JUNIOR AI DEVELOPER

Junior AI Developer

About the role

We are building an AI governance and assurance automation platform: a set of dashboards data pipelines integrations and AI-powered services that give leadership real-time visibility of how AI systems across the enterprise are performing where risk is accumulating and whether controls are being met.

You will join a small engineering team as a hands-on developer working under the direction of a Senior AI Engineer. This is a build role: you will write production Python ship LLM-powered features wire up integrations instrument monitoring and support releases. You will not be expected to set the architecture: you will be expected to implement it well test it properly and document it clearly.

What you will work on

AI and application development

• Build LLM-powered features: retrieval-augmented generation (RAG) pipelines chat and Q&A interfaces and task-focused AI agents.
• Develop secure scalable Python backends and APIs using FastAPI Flask or Django.
• Integrate with commercial and open-source LLM providers (Azure OpenAI Anthropic open-weight models) for real use cases.
• Implement vector stores and semantic search pipelines: chunking embedding indexing and retrieval strategies.
• Contribute to multi-agent and orchestration workflows using frameworks such as LangChain LlamaIndex LangGraph AutoGen or CrewAI.
• Tune solutions for response time token efficiency and cost.

Automation integration and data

• Automate governance and assurance workflows end to end: intake review checkpoints approvals evidence capture and reporting.
• Build and maintain integrations with engineering and operations platforms (CI/CD pipelines MLOps and DataOps tooling security operations tooling ticketing and collaboration systems).
• Develop and monitor data pipelines that feed governance metrics with data quality checks failure detection and automated alerting against defined SLAs.

Monitoring dashboards and reporting

• Instrument production AI systems with automated monitoring for model performance drift bias indicators data quality security events and availability.

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

Vertical:

Technology