Zenara Technologies
Full Stack Developer (AI-Enabled)
Skills
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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