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Mid-level fullstack title, metro location, and broad skillset create high competition.
Core fullstack skills are transferable across industries but LLM and specific frameworks add moderate sensitivity.
Multiple mandatory technologies (Python frameworks, React, LLMs) plus explicit 2+ years make filtering strict.
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Develop and maintain scalable backend services and APIs using Python frameworks like Django, Flask, or FastAPI.
Build responsive frontend applications with React.js or Next.js, integrating AI/LLM systems via Langchain, Crew AI, or similar frameworks.
Collaborate with cross-functional teams to deliver secure, high-performance AI-integrated applications and manage developer tools and workflows.
Minimum 2+ years of experience in fullstack development with backend and frontend proficiency.
Strong skills in Python backend frameworks (Django, Flask, or FastAPI) and frontend libraries (ReactJs, NextJs).
Experience with AI/LLM integration tools such as Langchain, Crew AI, RAG pipelines.
Familiarity with developer tools like Cursor, Augment, Windsurf and code quality tools (black, ruff, flake8).
Experienced in designing and optimizing secure RESTful APIs and backend services with performance tuning and authentication.
Comfortable working in AI-driven environments focusing on AI model integration and workflow orchestration.
Capable of managing end-to-end fullstack development including using developer productivity tools and collaborating with technical teams.