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Metro location, mid-level role, hybrid remote, and broad popular AI skillset drive high competition.
Medium — core AI/LLM skills transfer across industries, but retail/enterprise background and vector DB experience matter.
High due to explicit 4+ years and mandatory LLM, FastAPI, React, vector DB and enterprise background.
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Lead development and implementation of AI-driven solutions leveraging frontend (ReactJS, Next.js) and backend (Python FastAPI) technologies.
Manage AI workflows including RAG, agent-based systems, and local LLM deployments with focus on model evaluation and hallucination reduction.
Design and optimize data handling, KPIs, and actionable insights using PostgreSQL, SQL, Python, and object storage platforms like Azure Blob Storage.
4+ years of professional experience in AI and software development roles.
Strong backend proficiency in Python with FastAPI and frontend proficiency in ReactJS / Next.js.
Hands-on experience with AI/LLM systems, including RAG workflows, vector databases (OpenSearch/Chroma), and private/offline AI setups.
Experience with PostgreSQL, Azure Blob Storage or similar object storage, and building analytics/dashboards using SQL and Python.
Experienced in delivering AI-driven enterprise or large-scale digital retail solutions.
Capable of translating complex AI technical concepts into business-relevant insights and measurable impact.
Practical knowledge of secure, scalable system design combined with Agile methodology and consulting experience.