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Niche Claude/LLM specialization but mid-level (3+ years) generalist appeal increases competition moderately.
Highly domain-specific LLM and prompt-engineering skills reduce cross-industry transferability.
Multiple mandatory LLM, Claude, LangChain, vector DB, cloud, and 3+ years requirements.
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Design and develop AI-powered automation workflows and intelligent assistants using Claude AI for enterprise business processes.
Integrate and orchestrate AI solutions with enterprise systems such as CRMs, databases, and backend tools ensuring scalable and secure deployments.
Test, deploy, and maintain AI automation services with focus on prompt engineering, retrieval-augmented generation (RAG), data pipelines, and continuous improvement.
3+ years of experience in AI automation, workflow integration, and conversational AI development.
Strong expertise with Claude AI, advanced prompt engineering, and LLM applications.
Proficiency in Python and/or Node.js with experience in backend development and API integration.
Hands-on experience with vector databases (e.g. FAISS, Pinecone), RAG pipelines, LangChain or LlamaIndex frameworks, and cloud deployments on AWS/Azure/GCP.
Experienced in building complex AI automation workflows with focus on reliable, scalable enterprise solutions using Claude AI and associated toolkits.
Technically proficient in end-to-end AI system architecture including data pipelines, retrieval systems, and prompt governance.
Able to collaborate effectively with cross-functional teams to translate business requirements into technical designs and mentor junior team members.