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    Our client is a global consulting and technology organization developing enterprise-grade platforms supporting complex financial and tax processes. They are currently looking for a Lead AI Engineer to help design and deliver advanced AI capabilities for a large-scale platform.

    Skills and Requirements:

    • Expert-level Python experience building production-grade systems.
    • Strong experience with FastAPI and asynchronous API design.
    • Advanced experience with SQL Server, including performance tuning.
    • Strong ORM expertise, preferably SQLAlchemy.
    • Deep experience designing solutions on Microsoft Azure (App Services, Functions, Azure SQL, Blob Storage, Key Vault, networking, Managed Identity).
    • Experience with event-driven architectures using technologies such as Azure Service Bus, Event Grid, or Durable Functions.
    • Proven experience integrating LLM technologies, ideally Azure OpenAI.
    • Strong experience designing RAG architectures, including embeddings, chunking strategies, vector search, and re-ranking.
    • Experience with prompt engineering, structured outputs, and tool-calling workflows.
    • Experience integrating external APIs and enterprise services.
    • Knowledge of AI observability tools and evaluation frameworks.
    • Experience building secure, enterprise-grade APIs handling sensitive data.
    • Strong understanding of CI/CD pipelines and DevOps practices.
    • Hands-on experience using AI-assisted development tools such as GitHub Copilot or Cursor.

    Role and Responsibilities:

    • Design and implement AI-driven backend services using Python and modern API frameworks.
    • Architect scalable RAG systems and AI-driven knowledge retrieval pipelines.
    • Integrate LLM services and AI capabilities into enterprise platforms.
    • Design secure, scalable APIs aligned with enterprise architecture standards.
    • Optimize system performance across Python services and SQL Server databases.
    • Implement event-driven architectures supporting distributed processing.
    • Work closely with engineering teams across backend, frontend, and platform layers.
    • Lead the design and implementation of AI-driven features across the platform.
    • Contribute to AI evaluation frameworks, monitoring, and continuous improvement of AI systems.

    For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.

    Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.

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    Job manager

    Klaudia Dudek

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