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Metro location and in-demand LLM skills increase competition, but niche tool requirements moderate density.
LLM and RAG expertise is transferable across industries but specialized, so moderate background sensitivity.
Explicit 2+ years plus mandatory LLM, RAG, and specific tool experience makes filters moderately strict.
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Design, develop, and deploy Generative AI solutions integrating LLM technologies into web, mobile, and enterprise applications.
Manage local LLM infrastructure deployments using Ollama and optimize model performance including inference speed and resource use.
Develop Retrieval-Augmented Generation solutions leveraging vector databases and work on prompt engineering, model fine-tuning, and evaluation.
Minimum 2 years of software development experience.
Strong proficiency in Python required.
Experience with LLM APIs such as OpenAI, Anthropic Claude, and Google AI Studio.
Bachelor's Degree in Computer Science, IT, Engineering, or related field.
Experienced in integrating AI models and tools into business applications and managing AI workflows using LangChain and agent frameworks.
Skilled in deploying and maintaining local LLMs with Ollama in containerized environments (Docker).
Familiar with RAG architectures, vector databases, and database systems like PostgreSQL and MongoDB for AI-driven solutions.