Paramount Computer System is looking for a Full-Stack Engineer to work with FastAPI and Next.js in Tamil Nadu, India. The role involves building and maintaining REST APIs, developing user interfaces, and integrating LLM provider APIs. Candidates should have at least 4 years of experience, strong skills in Python and TypeScript, and familiarity with MongoDB. If you are passionate about creating intelligent features that improve teamwork, we want to hear from you.
Qualifications
4+ years of full-stack engineering experience.
Strong Python and TypeScript skills.
Experience with FastAPI (or similar async Python frameworks).
Experience building with React and Next.js.
Responsibilities
Build and maintain REST APIs using FastAPI.
Develop responsive, accessible UIs with Next.js and React.
Integrate, evaluate, and optimize LLM provider APIs.
Design MongoDB schemas and write efficient async queries.
Skills
FastAPI
Python
TypeScript
Next.js
React
MongoDB
Tailwind CSS
Job description
You’ll work in a modern monorepo with a FastAPI backend and a Next.js frontend, integrating LLM providers to deliver intelligent features that improve how teams work.
Frontend
Tailwind CSS v4, shadcn/ui
Responsibilities
Build and maintain REST APIs using FastAPI
Develop responsive, accessible UIs with Next.js and React
Integrate, evaluate, and optimize LLM provider APIs
Design MongoDB schemas and write efficient async queries
Write and maintain tests (pytest, React Testing Library)
Participate in code reviews and contribute to architectural decisions
Requirements
Must Have
4+ years of full-stack engineering experience
Strong Python and TypeScript skills
Experience with FastAPI (or similar async Python frameworks)
Experience building with React and Next.js
Familiarity with MongoDB or other NoSQL databases
Solid understanding of REST API design and authentication patterns
Nice to Have
Familiarity with Tailwind CSS and component libraries (e.g., shadcn/ui)
Background building internal/enterprise tools
Strong understanding of async Python patterns and performance consideration