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Mid-level generalist backend role with common Python/API skills and AI interest increases applicant pool.
Core Python backend skills are broadly transferable, though LLM/AI integrations add moderate domain specificity.
Explicit 2-3 years requirement plus mandatory Python frameworks and database experience.
Build and maintain scalable Python backend systems including API development using Django, FastAPI, or Flask.
Integrate and manage AI/ML workflows with LLM APIs such as ChatGPT and tools like LangChain and LangGraph.
Design and optimize microservices and backend architecture, deploy and support applications on cloud platforms.
2-3 years of hands-on Python development experience, including work on live/production projects.
Proficiency with Python backend frameworks (Django, FastAPI, or Flask).
Experience with REST APIs, backend architecture, and databases like PostgreSQL or MySQL.
Basic understanding of AI/ML concepts and hands-on experience with LLM APIs (e.g., ChatGPT).
Developer with practical experience in backend Python development combined with AI/ML and LLM-based application integration.
Capable of owning end-to-end backend architecture including microservices design and API management.
Comfortable working with cloud deployments and modern backend tools like Docker, Git, and async programming models.