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Generic mid-level software title, metro location, and common experience band increase applicant competition despite AI specialization.
LLM and document-processing focus increases domain specificity, reducing ease of cross-industry transfers.
Explicit 2-3 year requirement plus many mandatory technologies creates strict skill-based screening.
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Design, develop, and maintain scalable AI-powered data ingestion and processing platforms using Python.
Build and deploy AI/ML-enabled backend services including web crawling, data pipelines, REST APIs, and large language model integrations.
Ensure high system availability, performance optimization, and operational monitoring of AI/ML processing workflows.
2-3 years of Python development experience with frameworks like FastAPI or Django.
Strong hands-on experience with AI/ML, Generative AI, or LLM application development and integration.
Experience with web scraping tools like Scrapy or Playwright and document processing (HTML, PDF parsing).
Work Experience Required: 2-3 years in relevant software development roles.
Proven ability to independently design, build, and operate production-ready AI/ML backend services and pipelines.
Experience working in cross-functional teams including Product, Data Science, and DevOps to deliver scalable AI solutions.
Familiarity with asynchronous programming, distributed task management, and cloud deployments on AWS/Azure/GCP.