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Strong employer brand plus popular GenAI role increases applicant density, but senior specialization reduces competition.
GenAI and LLM skills are transferable, but vector DB and Azure AI Search experience adds moderate industry specificity.
Multiple mandatory GenAI, LLM, vector DB and API skills enforce strict technical filtering.
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Design, develop, and optimize Generative AI solutions using prompt engineering and large language models with Python.
Develop and maintain RESTful APIs (Flask, Django, FastAPI) to integrate LLM features into applications.
Integrate and manage data in MySQL, PostgreSQL, and VectorDB (e.g., Pinecone) to support AI embeddings and semantic search via Azure AI Search.
Proficient in Generative AI, prompt engineering, and large language models (LLMs).
Strong Python programming skills focused on AI application development.
Experience developing RESTful APIs using Flask, Django, or FastAPI.
Knowledge of relational databases (MySQL, PostgreSQL) and vector databases (Pinecone, VectorDB).
Experienced in designing and evaluating Generative AI architectures and technical feasibility.
Skilled in applying embedding techniques and semantic search enhancements using Azure AI Search.
Capable of leading technical discussions, documentation, and risk mitigation in AI solution development projects.