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Burjline Builders

AI Engineer (LLM Workflows & LLMOps)

Burjline Builders
United Arab Emirates · Full-time · Entry

Own the build-out and day-to-day optimisation of agentic LLM workflows that ingest large volumes of qualitative text (survey verbatims, social posts, transcripts) and deliver production-grade data and insights for dashboards. You will translate research requirements into modular chains/agents, optimize and maintain existing workflows, and monitor performance in line with emerging LLMOps best practices

Key Responsibilities:

  • LLM Integration & Prompt Engineering
    • Design, test, and maintain workflows against OpenAI, Google, or open-weights models via SDKs or REST.
    • Help build multi-agent graphs (e.g., LangGraph) that route tasks such as classification, summarisation, and extraction
  • NLP Pipeline Development
    • Fine-tune or embed open-source models (e.g., sentence-transformers) to tag sentiment and themes in Arabic/English text at scale
    • Optimise vector-DB retrieval (Pinecone/Chroma) for hybrid RAG scenarios used by research analysts.
  • Cross-Functional Enablement
    • Pair with data engineers to keep ETL/ELT pipelines LLM-ready; write minimal documentation and how-to notebooks for researchers.
    • Act as a bridge between the research and data teams to understand key requirements and translate them into scalable solutions
Required Skills & Experience:

  • 1–3 years hands-on Python (FastAPI, LangChain/LlamaIndex)
  • Familiarity with cloud GPU instances (AWS Bedrock/SageMaker, Azure OpenAI, or Runpod)
  • Basic DevOps: Docker, git,
  • Applied NLP: tokenisation, embeddings, text classification; exposure to Arabic language models is a plus.
  • Comfortable reading research papers/blogs and translating them into PoCs quickly.
  • Strong written & spoken English; Arabic proficiency preferred.

Nice-to-Have:

  • Experience with Streamlit or Dash for quick internal prototypes.

Prior work analysing survey verbatims or focus-group transcripts.

Key Skills

Ranked by relevance

prototypes streamlit fastapi python docker devops cloud aws
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Posted
May 31, 2025
Type
Full-time
Level
Entry
Location
United Arab Emirates

Industries

Construction

Categories

Engineering Information Technology

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