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Senior AI Engineer / Developer

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Job Description - Senior AI Engineer / Developer

Enterprise Intelligence & Workflow Automation

Tech Stack: Microsoft Azure, .NET/Python, Azure AI Services

About :

This role is with an award -winning Data & AI firm helping
modern enterprises accelerate their digital evolution. By combining
product -led innovation with deep technical expertise, they provide the
strategies and platforms necessary to drive rapid, measurable
outcomes. They don’t just implement technology, they fuel growth and
operational excellence through AI -native transformation.

Overview :

We are looking for a seasoned, hands -on Engineer to lead
the architectural design, development and deployment of custom,
enterprise -grade AI solutions. In this role, you won't just be
building prototypes; you will be responsible for the end -to -end
production delivery of AI -enabled applications that drive real
business value. You will bridge the gap between complex document
intelligence and seamless workflow automation, ensuring every
solution is scalable, extensible, and robust.

Core Responsibilities :

  • Production -Grade Engineering: Shift AI concepts from
    experimentation into high -availability production environments on
    the Microsoft Azure platform.
  • Architectural Stewardship: Design custom AI workflows and
    service -oriented architectures that integrate deeply with
    enterprise ecosystems.
  • Data Extraction & Intelligence: Architect large -scale
    document processing pipelines that convert unstructured data into
    actionable business insights.
  • Lifecycle Ownership: Take full accountability for the
    development lifecycle from initial technical scoping and API
    design to deployment, monitoring, and iterative refinement.

Mandatory Technical Qualifications :

To be considered for this role, you must demonstrate
"in -the -trenches" experience in the following areas:

     1. Azure AI Production Delivery
  • A proven track record of deploying business -critical
    AI applications (not just POCs or lab demos).
  • Experience monitoring and scaling AI workloads in
    live environments.
  • You can articulate the transition of a specific
    project from prototype to a multi -user production state.
     2. Custom Microsoft AI Architectures
  • Deep expertise in building bespoke workflows using Azure AI Services and Document Intelligence.
  • Nuanced understanding of the Azure ecosystem,
    knowing when to leverage native services and when to engineer
    custom workarounds for service limitations.
  • Note: This role is for builders, not buyers. Experience
    limited to configuring "off -the -shelf" SaaS or
    vendor -managed Copilots is out of scope.

     3. Enterprise Software Foundations (.NET / Python)

  • Strong backend engineering proficiency in .NET and/or Python.
  • Experience with API -first, layered architectures and
    integrating AI components into complex enterprise workflows.
  • Note: We are seeking engineers who build and maintain
    backend services; low -code/no -code specialists will not be a fit.

     4. Document Intelligence at Scale

  • Hands -on experience extracting structured data from
    complex document repositories (e.g., SharePoint Online).
  • Ability to design systems that remain accurate and
    explainable as document volume and variety increase.

The Profile We Are Looking For :

  • Owner’s Mindset: You take personal accountability for the
    architectural integrity and long -term performance of your code.
  • Collaborative Strategist: You can translate ambiguous
    business requirements into technical roadmaps and communicate
    effectively with Enterprise Architects and stakeholders.
  • Problem Solver: You have a history of identifying where
    standard AI services break down and engineering the custom logic
    required to fix them.

Engagement Details :
  • Duration: Initial 6 -month contract with a high probability
    of extension
  • Commitment: Full -time (5 days per week)
  • Location: Onsite - Dublin (3 Days / Week) 


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