Full Stack Engineer

3 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Company Description Pente AI is a dynamic IT startup focused on developing cutting-edge AI solutions and products tailored for small and medium-sized businesses around the globe Role Description We are seeking a skilled Full Stack Developer to build and scale a customer-facing web application and internal dashboard. This role will primarily focus on frontend and backend development using the MERN stack and modern UI frameworks, with a basic understanding of cloud deployment practices. The developer will be responsible for implementing user registration, billing, service metering, and model API integrations — including those built on Python (e.g., RAG pipelines). The solution is to be productionized in AWS. 3+ years of experience with React and Node.js-based full stack applications. Proven expertise in UI libraries like Material UI, Tailwind CSS, or Bootstrap. Good understanding of RESTful APIs, JWT, and API security practices. Basic understanding of deploying MERN apps to cloud (e.g., EC2/Vercel/Render). Collaborative and proactive in working with DevOps engineers and Python model teams. Qualifications Frontend Development: HTML, CSS, JavaScript, React.js, Redux Toolkit, Tailwind CSS, Bootstrap, Next.js, Framer Motion, JQuery, Material UI, Axios, React Router, Expo, React Query, React Flow Backend Development: Node.js, Express.js, REST APIs, Supabase, JWT Authentication, FastAPI, ThunderClient, GraphQL, WebSocket/Socket.IO, Rate limiting / API throttling tools (eg: express-rate-limit), openrouter Databases: MongoDB, Mongoose, MySQL, Prisma, ORM Tools, PostgreSQK, Redis, Amazon S3 Programming Languages: JavaScript, Python, TypeScript, Shell/Bash Version Control & Deployment: Git, GitHub, Vercel, Render, Netlify, GitHub Actions, Bitbucket Pipelines, GitLab CI, Jenkins Tools & Others: VS Code, Figma, Postman, Swagger, Vercel V0, CursorAI Testing: Jest, Mocha, Chai, cypress Cloud Infrastructure: AWS (preferred), Google Cloud (optional) AI Components and Integration: Google Vertex AI, AWS Bedrock, AWS Lambda, API Gateway, integration with Python RAG pipelines, LangChain, LlamaIndex, Weaviate, Pinecone Show more Show less

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