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Senior Full-Stack Software Engineer, AI & Data

Everbridge · Posted Sep 22

Critical event management, emergency mass notification, and enterprise resilience software solutions

BengaluruFull-timeRemote · India-wideSenior Level5–8 years₹30.0L–₹50.0L yearly100+ applicants
SoftwareEnterprise SoftwareSaaSCritical Event ManagementEmergency NotificationPublic SafetyPublic Company
Full time

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About the role

Everbridge is hiring for a Senior Full-Stack Software Engineer, AI & Data role.

What you will do

  • Build across the stack. Design and ship internal tools and systems end to end — back-end services and APIs, front-end interfaces, data integrations, and the deployment and infrastructure glue that makes them real.
  • Work on many things. Move between projects and problem types as priorities shift — one week a workflow-automation tool, the next an internal dashboard, the next helping ship an AI-powered feature. Breadth is the point.
  • Put AI to work. Integrate the LLM, RAG, and agent capabilities the team builds into usable software, partnering closely with the Applied AI Engineer to turn intelligence into product.
  • Enable the company. Sit with teams across the business, understand their problems, and build the right solution — measured by how much more effective you make everyone else.
  • Ship reliably. Own what you build through to production and beyond, with the quality and judgment to know when good-enough-shipped beats perfect-delayed.

Skills used in this role

PythonTypeScriptLLMRAGAI AgentsREST APIBackend DevelopmentFrontend DevelopmentData PipelinesDatabasesCloudDevOpsCI/CDContainersInfrastructure as Code

What the employer is looking for

  • Strong full-stack engineering. You write production-grade code and build comfortably across the stack — back end, APIs, and front end (e.g. Python and/or TypeScript with a modern web framework). You’re not boxed into one layer.
  • Range and adaptability. A track record of picking up unfamiliar problems and shipping — you’re energized by variety, not thrown by it.
  • Comfort with AI as a tool. You’ve worked extensively with AI — integrating APIs, building features on top of models — even if AI isn’t your specialty.
  • A builder who talks to people. You can understand a non-technical team’s problem and turn it into a working solution. Internal enablement rewards engineers who listen as well as they build.
  • Data fluency. Enough comfort with pipelines, databases, and structured/unstructured data to work directly with what your software touches.
  • Autonomy in a small team. You thrive without heavy process, set your own direction, and are happy wearing whatever hat the moment calls for.

Preferred qualifications

  • Experience building internal tools or platforms that other teams depend on.
  • Cloud, DevOps, or deployment experience — CI/CD, containers, infrastructure-as-code.
  • Hands-on experience shipping LLM-powered features in production.
  • A portfolio of varied systems you’ve built end to end.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Everbridge

Everbridge, Inc. is a global enterprise software company that provides critical event management (CEM) and enterprise safety applications to help keep people safe and businesses running. Its platform automates and accelerates operational responses to critical threats, ranging from severe weather and cyberattacks to IT outages and security incidents. Trusted by thousands of global corporations, hospitals, and government entities, Everbridge delivers reliable threat intelligence and mass notification capabilities.

Industry
Software
Company size
1001-5000 employees
Founded
2002
Location
Vienna, Virginia, USA
Funding stage
Acquired / Private

Funding

Acquired / Private

Thoma Bravo

Leadership

DW
David Wagner

President and Chief Executive Officer

PB
Patrick Brickley

Senior Vice President and Chief Financial Officer

IM
Imad Mouline

Chief Technology Officer

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