🏢 About Seismic
Seismic is the global leader in AI-powered enablement, helping go-to-market teams deliver exceptional customer experiences at scale. The Seismic Enablement Cloud is a unified, AI-powered platform trusted by over 2,000 organizations worldwide to equip customer-facing teams with the skills, content, and insights they need to win.
🎯 The Role
As a Senior Software Engineer II on the AI Search team, you'll build and maintain the frontend experiences that power Seismic's search, content discovery, and AI capabilities. You'll collaborate with senior engineers and cross-functional partners across geographies to create reliable, scalable systems that deliver intelligent search results to enterprise customers.
🛠️ Tech Stack
- React + TypeScript + JavaScript (ES6+)
- CSS Modules, Tailwind CSS, styled-components
- REST & GraphQL APIs
- Jest, React Testing Library, Cypress, Playwright
- GitHub Actions, CI/CD Pipelines
- AWS / GCP / Azure
- Kubernetes (containerized deployments)
💼 What You'll Do
- Build and maintain frontend systems powering search and AI-driven content discovery.
- Implement search-related UI features including indexing, retrieval, and ranking interfaces.
- Integrate AI and search capabilities across the Seismic platform with cross-functional teams.
- Monitor performance, identify bottlenecks, and optimize for low-latency query experiences.
- Collaborate across regions and time zones, including partnership with global engineering teams.
✅ What You'll Need
- 7+ years of software engineering experience with a strong frontend focus.
- Expert-level React and TypeScript skills, including hooks, functional components, and state management.
- Proficiency in modern CSS approaches and API integration (REST/GraphQL).
- Hands-on experience with automated testing frameworks and CI/CD pipelines.
- Strong Git-based collaboration skills.
🌟 Nice to Have
- Full-stack experience with C#, Node.js, or Python.
- Exposure to search platforms like Elasticsearch or Apache Solr.
- Familiarity with RAG, generative AI, conversational AI, or LLMs.
- Experience with cloud-native deployments on Kubernetes.
- Knowledge of accessibility standards (WCAG) and design systems.