Senior Full-Stack Software Engineer, AI & Data

🕒 September 22

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 49 days.
• Jobs at this company usually fill in 42 days.
• No salary listed.

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Everbridge

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

Everbridge is a company specializing in critical event management solutions designed to enable organizations to plan, anticipate, mitigate, respond to, and recover from unexpected events. With a broad suite of products including risk intelligence, mass notification, crisis management, and public warning systems, Everbridge is committed to maximizing organizational resilience through their integrated Everbridge 360™ platform. Serving industries such as financial services, healthcare, technology, telecommunications, energy, and government sectors, Everbridge helps over 6,500 global customers manage critical events more effectively. Their solutions ensure workforce safety, protect assets, and maintain business continuity during disruptions, ensuring swift communication and effective management of crises.

📋 Description

• Design and ship internal tools and systems end to end, including back-end services, APIs, front-end interfaces, data integrations, deployment, and infrastructure • Move between projects and problem types as priorities shift, including workflow automation tools, internal dashboards, and AI-powered features • Integrate LLM, RAG, and agent capabilities into usable software in partnership with the Applied AI Engineer • Work with teams across the business to understand their problems and build effective solutions • Own software through production and beyond, applying judgment to ship reliable solutions

🎯 Requirements

• Strong full-stack engineering; production-grade code across back end, APIs, and front end, such as Python and/or TypeScript with a modern web framework • Track record of picking up unfamiliar problems and shipping • Extensive experience with AI, including integrating APIs and building features on top of models • Ability to understand non-technical teams’ problems and turn them into working solutions • Comfort with pipelines, databases, and structured/unstructured data • Ability to thrive autonomously in a small team without heavy process • Bonus: experience building internal tools or platforms used by other teams • Bonus: cloud, DevOps, or deployment experience, including CI/CD, containers, and infrastructure-as-code • Bonus: hands-on experience shipping LLM-powered features in production • Bonus: portfolio of varied systems built end to end

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