- Location
- Abu Dhabi
- Workplace
- Onsite
- Department
- IT
- Seniority
- Entry
- Closing date
- Today
- Source
- CareersPage
Description
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