About the role
AI / GenAI Engineering Skills
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Has basic exposure to Large Language Model (LLM)–based application development concepts.
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Has worked with LangChain for prompt orchestration, tool calling, and simple chain-based workflows.
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Understands fundamentals of Retrieval Augmented Generation (RAG) including document ingestion, embeddings, and vector search.
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Has exposure to Azure AI Foundry / Azure OpenAI for model access, prompt configuration, and basic usage patterns.
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Understands prompt structuring, input grounding, and response validation at a foundational level.
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Has awareness of Microsoft 365 Copilot Studio for configuring copilots and understanding enterprise copilot concepts.
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Familiar with handling context windows, token limits, and basic latency considerations in LLM applications.
Frontend
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Demonstrates foundational proficiency in HTML, CSS, and React, enabling the creation of responsive user interfaces.
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Has experience working with TypeScript, Tailwind CSS, Chakra UI, Formik, and Yup.
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Understands basic UI/UX principles, including usability and responsive design concepts.
Backend
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Possesses foundational proficiency in Python and Django for backend development tasks.
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Has been exposed to FastAPI for lightweight API development, which is preferred.
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Understands asynchronous processing using Celery at a basic level.
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Has working knowledge of PostgreSQL and Azure SQL databases.
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Understands RESTful APIs and JSON-based communication.
Cloud Services
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Has exposure to Microsoft Azure Portal, Resource Groups, and Blob Storage.
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Demonstrates a foundational understanding of CI/CD pipelines and deployment workflows.