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Metro Hyderabad location and popular junior AI title increase applicant density, niche GenAI skills moderate competition.
GenAI and full-stack engineering skills are broadly transferable across industries.
Explicit 0–2 years requirement plus mandatory Python and LLM exposure creates moderate shortlisting filters.
Design, develop, and maintain full-stack GenAI-enabled applications using Python, FastAPI, React, and AI frameworks including LLMs, prompt engineering, and RAG pipelines.
Build internal AI assistants, chatbots, workflow automation tools, and intelligent dashboards to improve engineering and business workflows.
Collaborate with cross-functional teams to translate business needs into executable software, participate in code reviews, implement secure engineering and responsible AI practices, and support deployment and operational troubleshooting.
Bachelor's degree in Computer Science, IT, Data Science, AI, Engineering, or related technical field.
0–2 years of professional or equivalent hands-on experience in full-stack, backend, or GenAI application development.
Hands-on experience with Python programming, REST APIs, web development, Git/GitHub, and AI-assisted development tools like GitHub Copilot or Cursor AI.
Not explicitly mentioned in the JD: Notice period or location-specific requirement beyond hybrid work at Regal Rexnord site.
Practical experience or strong familiarity with GenAI concepts, LLMs, prompt engineering, RAG pipelines, embeddings, and agentic AI patterns.
Comfortable working in agile development environments with knowledge of SDLC, testing, incremental delivery, and collaborative task breakdown.
Able to operate across frontend and backend stacks with a focus on building AI-enabled software features, understanding operational deployment basics including Docker and cloud services.