Consultant - AI/GEN AI

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