Description

Required qualifications for Lead Full-Stack GenAI Developer

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Deep, recent experience personally building and deploying production GenAI, RAG or agentic systems.

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Advanced Python and strong software-design, API, asynchronous-processing, testing and debugging skills.

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Strong understanding of retrieval, context engineering, model behaviour, structured generation, agents, evaluation and observability.

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Candidates must be able to demonstrate recent personal code contributions to production GenAI systems. Experience limited to architecture oversight, technical management, notebooks or demonstrations is insufficient.

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Practical experience with Azure AI services and/or Databricks, with the ability to work productively across both.

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Experience integrating AI services with enterprise data and application systems.

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Strong SQL and production data-engineering capability, including data profiling, transformation, quality validation, schema evolution, lineage and reliable batch or event-driven pipelines.

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Experience implementing security, resilience, error handling and operational telemetry in production services. • Ability to lead technically while remaining a substantial individual contributor

Key Skills

Education

Any Graduate