The role combines Python development with AI/LLM and data-driven consulting, including designing and building components, leading AI workshops, gathering business requirements, creating LLM and data-pipeline prototypes, collaborating with business and IT stakeholders, and contributing to architecture and CI/CD practices. It requires 3–5 years of hands-on Python development, AI/ML knowledge, data-pipeline experience, development practices, English fluency, and stakeholder skills.
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