Gen AI

2 days ago

Doha, Baladīyat ad Dawḩah, Qatar Xellr Full time 120,000 - 180,000 per year

About the Role

We are looking for a senior
Gen AI & Data Science Engineer
who can design, build, and productionize AI solutions on
Microsoft Azure
— especially using
Azure OpenAI
and the broader
Azure AI
stack. This is a hands-on, solution-building role for someone who has already delivered real-world GenAI / RAG / analytics projects.

Key Responsibilities

  • Architect and implement
    GenAI applications
    using
    Azure OpenAI
    (GPT, embeddings, assistants) and
    Azure AI Foundry
    .
  • Design and optimize
    RAG (Retrieval-Augmented Generation)
    pipelines: document ingestion, text/vector embeddings, chunking strategies, metadata, hybrid search, evaluation.
  • Work with
    vector databases
    (e.g. Azure AI Search, Redis, PostgreSQL with pgvector, Milvus, Pinecone) and implement
    vectorization
    of text and semi-structured data.
  • Build and orchestrate
    agentic workflows
    using frameworks like
    LangChain
    ,
    Crew.AI
    ,
    A2A
    or equivalent to support multi-step, tool-using AI agents.
  • Develop and deploy
    predictive analytics and ML models
    (classification, regression, time series, anomaly detection) aligned to
    FS use cases
    (KYC/AML, collections, underwriting, RoI modeling, pricing, customer insight).
  • Package solutions as
    APIs / microservices
    for consumption by business apps, portals, or channels.
  • Define
    MLOps / AIOps
    practices on Azure (CI/CD, model registry, monitoring, drift, evaluation).
  • Work closely with business stakeholders to translate requirements into
    data/AI products
    .
  • Ensure
    security, governance, and data privacy
    compliance for financial services workloads.

Skills & Qualifications

  • 7-10 years
    of experience in Data Science / ML / AI engineering roles.
  • European nationality
    (EU passport) — for mobility / customer/regulatory reasons.
  • Strong, recent hands-on experience with
    Azure OpenAI
    and
    Azure AI services
    (AI Foundry / AI Search / Cognitive Services).
  • Proven experience in building
    RAG systems
    end-to-end (data prep → embedding → retrieval → prompt orchestration → evaluation).
  • Solid understanding of
    embeddings
    and
    vector similarity search
    (cosine / dot product / hybrid).
  • Practical experience with
    LangChain
    or similar
    chain-of-thought / tool-calling frameworks
    .
  • Hands-on with
    agentic frameworks
    (Crew.AI, A2A, AutoGen, etc.) for multi-agent task execution.
  • Excellent
    Python
    skills (pandas, PyTorch/TF/sklearn, FastAPI).
  • Experience in
    financial services
    data models and processes.
  • Strong architecture mindset: can choose the right Azure service for the problem.
  • Very good English communication; able to present to non-technical stakeholders.

Why join us

  • Work with a pragmatic, execution-focused team that values quality over shortcuts.
  • Autonomy to choose the right tools/architectures and set engineering standards.
  • Build category-defining AI systems for high-impact financial use cases

How to Apply:

Please share your
CV + 3 project examples
(GenAI / RAG / FS ML) that you delivered in the last 24 months. Highlight:

  1. Azure services used
  2. LLM / model used
  3. Your exact role
  4. Outcome / business value

Submit your CV and a brief cover letter outlining your experience at

All relocation and Qatar residency assistance will be provided.

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