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Full Stack Developer (AI-Enabled)

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Onsite

Full Stack Developer (AI-Enabled)

Zenara Technologies

Full Stack Developer (AI-Enabled)

Skills

Google Cloud PlatformNextDockerReactNodePythonGolangJavaMicroservicesAIAWSGitHubGDPRAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹500,000 – ₹1,200,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

20 August 2026

What they need


Role Summary

Zenara is hiring a Full Stack Developer to build scalable mobile and web applications for a fast-moving fintech startup. You will own features end-to-end from secure APIs and web interfaces to AI-enabled workflows and ship with confidence in a modern, AI-assisted engineering environment.

What You Will Build

  • Full stack AI-native mobile and web applications
  • Scalable backend APIs and microservices
  • Secure financial data processing systems
  • Integrations with financial platforms and external APIs
  • Internal tooling leveraging AI-assisted development workflows

Core Skills Required:

Backend Development

  • Strong experience with Node.js / Python / Java / Go
  • Designing and building REST APIs and microservices
  • Experience with relational or NoSQL databases

Frontend Development

  • Building modern web applications using React / Next.js / Angular / Vue
  • Experience with component-based UI development
  • Integrating frontend applications with APIs

Cloud Engineering

  • Experience with AWS / Azure / GCP
  • Familiarity with Docker and containerized deployments
  • Understanding of CI/CD pipelines and modern deployment workflows

Secure Development

  • Experience implementing authentication and authorization (OAuth/JWT)
  • Awareness of secure API development and data protection practices

AI-Assisted & AI-Enabled Development

  • Fluent with AI coding assistants - GitHub Copilot, ChatGPT, Cursor, Claude Code etc.
  • Experience integrating LLM APIs into product features.
  • Ability to design AI-enabled workflows - knowledge retrieval, document processing, automation.
  • Exposure to building AI agents / agentic workflows for multi-step tasks and automation.
  • Familiarity with agent frameworks such as LangChain, CrewAI, or similar.

What We Look For

  • Experience working with fintech platforms, data-driven systems, or financial APIs.
  • Exposure to AI-enabled applications - LLM integrations or intelligent automation workflows.
  • Understanding of modern architectures - microservices or event-driven systems.
  • Ability to build product features end-to-end and take ownership of delivery.
  • Comfortable working in startup environments, learning quickly and adapting to new technologies including AI-native development.

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