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Zinier

SDE-2, Full Stack Engineer

Reposted 24 Days Ago
Be an Early Applicant
In-Office
Bangalore, Bengaluru Urban, Karnataka
Mid level
In-Office
Bangalore, Bengaluru Urban, Karnataka
Mid level
Join the AI team to develop interfaces and APIs integrating GenAI features into field service workflows, managing end-to-end development from back to front end.
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Who we are:

Zinier’s No-Code Customization field service automation platform empowers field service organizations with the combined power of humans and technology to keep our world up and running. 

No two field service organizations are alike…

From the IT ecosystem you connect with, to the workflows executed in the field, your business requirements are unique. And in the fast-paced world of field service, those requirements can change rapidly. And that’s exactly why you need Zinier.

ZiniApps solve challenges across the entire lifecycle of field work. Off-the-shelf functional, but also customizable to meet specific use cases, ZiniApps cover the most meaningful jobs to be done in field service installation and maintenance.

We are a global team headquartered in Silicon Valley with leading investors including Wipro, Telmex, Black & Veatch, NCR, Toshiba and Qualcomm Ventures LLC.

To learn more, check out www.zinier.com

Why we exist:

Services shape how we live. Electricity lights up our homes. The Internet opens up our worlds. Cellular phones keep us connected no matter where we are. We take for granted the things we can turn on with the flip of a switch. But when even one of the services we depend on isn’t available, the day can quickly start to go sideways.

For organizations that provide these services, some of the most important work happens in the field — in neighborhoods, across open spaces, and along millions of last miles that criss-cross the country. Every moment of downtime matters, which is why Zinier exists. Zinier empowers organizations to work smarter — from the main office to the field — to solve problems quickly, fix things before they break, and keep people in the rhythm of their days.

To do this, Zinier has created a scalable platform powered by AI-driven insights and intelligent automation that helps field service teams work smarter, better, faster, and more efficiently. We help organizations automate routine tasks so the people in the field can focus on putting their expertise to work. We work with customers in telecom and energy.

What we’re looking for:

Join the AI team to build production interfaces and APIs that bring GenAI features to life in
enterprise FSM workflows. You'll own end-to-end development—from backend services to
frontend experiences—working directly with AI engineers to ship intelligent automation.

What You'll Build:
AI-powered interfaces
– Build UIs and APIs that integrate LLM features into field
service workflows.
Backend services 
– Design APIs that connect AI models with enterprise data and
business logic.
Real-time features
– Implement live updates, notifications, and data sync for field teams
Integration layer – Connect AI capabilities with existing FSM modules and third-party
systems.
Production infrastructure
– Deploy, monitor, and optimize services at enterprise scale.

Roles & Responsibilities: 
Core Skills
Full stack development – Node.js or Python backend + React/Vue.js frontend
API design – RESTful/GraphQL services with proper authentication and versioning
Database experience – SQL and NoSQL (PostgreSQL, MongoDB, Redis)
Cloud deployment – AWS services (Lambda, ECS, S3, RDS)
Production mindset – Testing, CI/CD, monitoring, and debugging at scale

Bonus Points:
Experience integrating ML/AI models into applications
Real-time systems (WebSockets, message queues)
Containerization (Docker, Kubernetes)
Mobile development (React Native)
Real-time systems (WebSockets, message queues)
Containerization (Docker, Kubernetes)
Mobile development (React Native)

Why This Role:
Build AI that ships – Turn GenAI experiments into production features used by enterprise field
teams.
Work with the AI team – Bridge models and users. Collaborate directly with AI engineers and
architects.
Own the experience – Full stack ownership from API to interface. Your code powers intelligent
workflows at scale.

Top Skills

Aws (Lambda
Docker
Ecs
Kubernetes
MongoDB
Node.js
Postgres
Python
Rds)
React
React Native
Redis
S3
Vue
Websockets

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