Junior AI Developer - Build AI Governance Pipelines

Duncan & Ross Consulting

Abu Dhabi

On-site

AED 167,000 - 257,000

Full time

3 days ago
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Job summary

Duncan & Ross Consulting in Abu Dhabi, UAE invites a Junior AI Developer to join a small engineering team building an AI governance and assurance automation platform. You will write production Python, ship LLM-powered features, wire up integrations, instrument monitoring, and support releases under guidance of a Senior AI Engineer.

You will work on AI and application development, automation, data, and monitoring; responsibilities include building RAG pipelines, secure Python backends,

Responsibilities

  • 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).
  • Implement vector stores and semantic search pipelines: chunking, embedding, indexing and retrieval strategies.
  • Contribute to multi-agent and orchestration workflows using LangChain, LlamaIndex, LangGraph, AutoGen or CrewAI.
  • Tune solutions for response time, token efficiency and cost.
  • Automate governance and assurance workflows end to end: intake, review checkpoints, approvals, evidence capture and reporting.
  • Build and maintain integrations with CI/CD, MLOps, DataOps tooling, security tooling, ticketing systems.
  • Develop and monitor data pipelines with quality checks, failure detection and automated alerting against SLAs.
  • Instrument production AI systems with automated monitoring for model performance, drift, bias indicators, data quality, security events.

Job description

Duncan & Ross Consulting in Abu Dhabi, UAE invites a Junior AI Developer to join a small engineering team building an AI governance and assurance automation platform. You will write production Python, ship LLM-powered features, wire up integrations, instrument monitoring, and support releases under guidance of a Senior AI Engineer.

You will work on AI and application development, automation, data, and monitoring; responsibilities include building RAG pipelines, secure Python backends,

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