Full Stack Developer

JITO

Bikaner

On-site

INR 700,000 - 1,100,000

Full time

14 days+
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Job summary

JITO is seeking an AI-first Full Stack Developer to rapidly design, build, and ship modern applications using AI-assisted workflows while maintaining scalable, production-grade quality. The role emphasizes system design, clean code, security, and maintainability, with tooling like OpenAI Codex, GPT-based agents, and LangChain.

You will own end-to-end development for web and mobile applications, crafting modular architectures, APIs, and responsive frontends, and collaborating with founders to

Qualifications

  • Experience with AI-first development and full stack systems.
  • Ability to design scalable architectures and write clean, secure code.
  • Familiarity with AI tools, prompt engineering, and modern development workflows.

Responsibilities

  • AI-Augmented Development: use AI tools for code generation, refactoring, debugging, testing, documentation, and architecture exploration.
  • Build end-to-end web and mobile applications with scalable backend APIs and frontend UX.
  • Architect systems with SOLID principles, clean architecture, and service-oriented design.
  • Translate product requirements into technical execution plans and prototype MVPs quickly.

Skills

Docker
Python
Java
SQL
REST APIs
React.js
Next.js
HTML5
CSS3
Git

Tools

Next.js
Redux
Git
Shell Scripting

Job description

Job Type: FullTimePermanent

Location: Bikaner

Work Mode: Onsite

Experience: EntryLevel

Travel Requirements: No Travel required, but position is for Bikaner only.

Skills
  • Docker
  • APIs & System Integration
  • Python
  • Python, Java, SQL, MySQL, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, Prompt Engineering, Linux, Shell Scripting, Git, Backend Development, REST APIs
  • React.js, Next.js, HTML5, CSS3, Bootstrap, Material UI, ShadCN UI, Redux

We are looking for an AI-first Full Stack Developer who can rapidly design, build, and ship modern applications using AI-assisted development workflows while maintaining strong engineering discipline, scalable architecture, and production-grade quality. This role is not about 'vibe coding'. The ideal candidate understands system design, software architecture, clean code principles, security, scalability, and maintainability - while leveraging tools like Cursor, Anthropic Claude, OpenAI Codex, GPT-based tooling, and modern AI agents to accelerate development. The candidate should be capable of independently converting product ideas into production-ready systems with minimal supervision.

Responsibilities

AI-Augmented Development:

  • Use AI-assisted development tools effectively for:
    • Code generation
    • Refactoring
    • Debugging
    • Testing
    • Documentation
    • Architecture exploration
  • Build structured AI workflows using tools like:
    • Cursor
    • Claude
    • Codex
    • ChatGPT
    • AI coding agents
  • Create effective prompts, context pipelines, and engineering workflows for AI-assisted coding.
  • Validate and review AI-generated code critically instead of blindly accepting outputs.

Full Stack Engineering:

  • Build end-to-end web and mobile applications.
  • Design scalable backend systems, APIs, queues, and integrations.
  • Develop responsive frontend interfaces with excellent UX.
  • Write production-grade code with proper modularity and maintainability.
  • Work across frontend, backend, databases, cloud infrastructure, CI/CD, observability.

Architecture & System Design:

  • Design systems with scalability, security, fault tolerance, maintainability, and performance.
  • Apply SOLID principles and clean architecture patterns.
  • Create modular, service-oriented, or event-driven systems where appropriate.
  • Understand tradeoffs between monoliths, modular monoliths, and microservices.
  • Design proper data models and caching strategies.
  • Ensure systems are AI-ready and automation-friendly.

Product Execution:

  • Translate product requirements into technical execution plans.
  • Rapidly prototype MVPs while preserving architectural quality.
  • Collaborate closely with founders/product teams.
  • Take ownership from concept to deployment.
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