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Mid-level fullstack role, metro location, popular title, and broad skillset including LLMs increase applicant density.
Core backend/fullstack skills transfer across industries, but AI/voice specialization moderately narrows fit.
Explicit 4–6 years plus mandatory backend, TypeScript/Node.js, React, and LLM experience raises filter strictness.
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Design, build, and maintain scalable backend services, APIs, and AI-powered product features using LLMs like OpenAI, Anthropic, or Gemini.
Own AI-integrated features end-to-end including architecture, development, deployment, monitoring, and support.
Develop and optimize systems including RAG pipelines, vector search, distributed async/event-driven architectures, and integrate databases (SQL and NoSQL).
4-6 years of software engineering experience.
Strong proficiency in Node.js, TypeScript, REST APIs, GraphQL, backend architecture, and React/Next.js frontend development.
Experience integrating LLMs or building AI-powered product features with knowledge of RAG, vector databases, prompt engineering, and AI latency optimization.
Work Experience Required: 4-6 years; Notice Period: Not explicitly mentioned in the JD.
Backend-first engineering mindset with ability to execute full-stack features independently.
Experience or strong familiarity with AI technologies especially LLM integration, RAG pipelines, vector search, and latency optimization.
Comfort working in a fast-paced startup environment with ownership of feature lifecycle from design to production support.