Full Stack Developer

Posted 11 Hours Ago
Hiring Remotely in United States
Remote
Entry level
Artificial Intelligence • Information Technology • Professional Services • Software
The Role
Build and maintain scalable full-stack applications using Python, FastAPI, PostgreSQL, MongoDB, React, and TypeScript. Develop secure REST APIs, responsive interfaces, asynchronous services, and GenAI-powered features such as LLMs, AI agents, RAG, knowledge bases, and semantic search. Containerize and deploy applications with Docker and AWS while owning features through development, deployment, and monitoring.
Summary Generated by Built In
About Us

Ziventra is building innovative, scalable technology solutions with a strong focus on modern architectures and AI-driven applications. We work on cutting-edge products that combine robust backend systems with intuitive, high-performance frontends.

Role Overview

We are looking for a highly skilled Full Stack Developer who is passionate about building scalable applications and taking end-to-end ownership of features. The ideal candidate has strong backend expertise in Python and FastAPI, solid frontend experience with modern React ecosystems, and an interest in GenAI-powered applications.

Key ResponsibilitiesBackend Development
  • Design, develop, and maintain scalable backend services using Python and FastAPI

  • Write efficient asynchronous code and optimize application performance

  • Work extensively with PostgreSQL, including query optimization and PL/pgSQL

  • Manage and scale data using MongoDB for high-volume and unstructured datasets

  • Build secure, well-documented RESTful APIs

Frontend Development
  • Develop responsive and user-friendly interfaces using React and TypeScript

  • Manage application state with Redux Toolkit

  • Build modern UI components using Tailwind CSS

  • Collaborate closely with designers and backend engineers to deliver seamless user experiences

GenAI & Advanced Applications
  • Contribute to GenAI-powered solutions, including:

    • Large Language Models (LLMs)

    • AI Agents

    • Knowledge Bases (KBs)

    • Retrieval-Augmented Generation (RAG)

    • Semantic Search systems

DevOps & Deployment
  • Containerize applications using Docker

  • Deploy and manage services on AWS (preferred)

  • Take end-to-end ownership from development to deployment and monitoring

Required Skills & Qualifications
  • Strong experience with Python and FastAPI

  • Solid understanding of async programming concepts

  • Hands-on experience with PostgreSQL and MongoDB

  • Proficiency in React, TypeScript, Redux Toolkit, and Tailwind CSS

  • Experience building and consuming REST APIs

  • Familiarity with Docker and cloud platforms (AWS preferred)

Nice to Have
  • Experience working on GenAI or AI-driven applications

  • Exposure to cloud-native architectures

  • Understanding of scalability, performance optimization, and system design

What We Offer
  • Opportunity to work on cutting-edge GenAI products

  • High ownership and impact-driven role

  • Collaborative and fast-paced work environment

  • Learning and growth with modern tech stacks

Skills Required

  • Strong experience with Python and FastAPI
  • Strong understanding of asynchronous programming concepts
  • Hands-on experience with PostgreSQL and MongoDB
  • Proficiency in React, TypeScript, Redux Toolkit, and Tailwind CSS
  • Experience building and consuming REST APIs
  • Familiarity with Docker and cloud platforms
  • Experience working on GenAI or AI-driven applications
  • Exposure to cloud-native architectures
  • Understanding of scalability, performance optimization, and system design
Am I A Good Fit?
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The Company
50 Employees
Year Founded: 2022

What We Do

Ziventra AI Ventures is an India-based, AI-first IT consulting and staff-augmentation company serving global enterprises. It supplies remote technology talent—including developers, engineers, architects, and consultants—through contract staffing, contract-to-hire, and dedicated teams. The company also provides AI consulting and automation, including AI agents, workflow automation, retrieval-augmented generation (RAG), and large language model integration. Its broader services include cloud, DevOps, data engineering, and enterprise-platform consulting.

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