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Mid-level, generalist fullstack title, metro location, and 3-6 years amplify competition.
Fullstack skills are transferable, but required LLM and enterprise integration experience raises domain specificity.
Explicit 3-6 years plus many mandatory techs (React/Next.js, Python, FastAPI, LLMs) creates high filter strictness.
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Build and maintain production-ready AI web applications using React/Next.js, TypeScript, Python, FastAPI, and LLM APIs.
Develop and integrate backend microservices and APIs supporting RAG workflows, embeddings, vector databases, and tool/function calling.
Deploy and manage applications on AWS cloud with enterprise integrations, collaborating through Agile methodologies and GitHub workflows.
Bachelor's degree or equivalent in Computer Science, IT, or related field.
3-6 years of experience in full stack application development with AI/LLM-enabled features.
Proficient in React/Next.js, TypeScript, Python, FastAPI, REST APIs, microservices, and AWS cloud deployment.
Experience integrating LLM APIs, implementing RAG pipelines, embeddings, vector database search, and enterprise API security.
Experienced in both frontend and backend development focused on AI-powered applications with LLM integration.
Skilled at integrating complex AI-driven workflows (RAG, embeddings, vector DB) within scalable microservices.
Practiced in Agile delivery environments, cross-functional collaboration, and managing cloud-native deployments on AWS.