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Mid-level 3–5 year generalist title increases applicants, balanced by AI and SCADA specialization reducing density.
Core fullstack and AI skills are transferable, but SCADA/industrial domain knowledge increases specialization.
Explicit 3–5 years plus mandatory Python/React, AI and SCADA knowledge enforces strict screening.
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Design and develop end-to-end full-stack applications incorporating AI technologies like LLMs, GenAI, and Vision AI to enhance automation and data accuracy.
Build scalable Python backends, React frontends, and REST APIs, working with MongoDB/NoSQL for flexible data handling.
Automate workflows and collaborate across teams to translate use cases into innovative, user-centric technical solutions.
3–5 years of experience in modern full-stack web application development.
Strong programming skills in Python and hands-on experience with React for frontend development.
Experience with MongoDB/NoSQL databases, API development (REST), Postman, and Swagger.
Working knowledge or strong interest in AI technologies (LLMs, GenAI, Vision AI) and software/system design principles.
Experienced developer comfortable owning solutions from problem statement through deployment in fast-paced, ambiguous environments.
Strategic focus on integrating AI-first solutions into industrial or automation systems rather than traditional coding tasks.
Ability to creatively design and implement scalable, user-centric applications emphasizing innovation and operational impact.