Senior Frontend Developer- AI Native Data
Noida · Staff/Principal
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LOW
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First 72 hours
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Skills required
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Job description
What you'll do
- Build React and TypeScript features across data explorers, topic pages and natural-language search.
- Create interactive D3.js/SVG visualizations (choropleth maps, timelines, scatter plots, ranking tables) with zoom, brushing, tooltips and linked charts.
- Design AI-native interfaces: conversational query UIs, streaming LLM answers, and agent workflows that show plan steps, tool calls, progress and cited sources.
- Build generative UI, where model output selects and fills real chart and table components, with fallbacks, error states and user controls.
- Integrate with Flask and Mixer APIs, and keep chart and query state in the URL for shareable links.
- Ship responsive, accessible (WCAG) and fast UI, with tests, through GitHub pull requests.
Must-have skills
- 8–12 years of professional frontend development.
- Strong TypeScript and JavaScript (ES6+, async/await).
- Production React: hooks, state, component architecture.
- CSS/SCSS, Flexbox/Grid, responsive layouts, accessibility.
- Data visualization with D3.js and SVG.
- REST/JSON APIs and client state, including URL serialization.
- Built at least one LLM-powered UI (chat, AI search, copilot or agent) [must-have or nice-to-have: TBD].
- Jest, React Testing Library, Git/GitHub PRs; professional English [level: TBD].
Nice to have
- Agentic UX: human-in-the-loop approvals, multi-step progress, cited answers, handling model uncertainty.
- Gemini API, Google ADK, Model Context Protocol (MCP).
- Prompt design and evaluating AI features (quality, latency, feedback).
- Python/Flask, gRPC/Protobuf.
- Knowledge graphs: StatVars, DCIDs, provenance; Schema.org, MCF, JSON-LD, RDF.
- Webpack, npm/yarn, Bazel; Percy and hermetic E2E tests.
- Docker, GCP (GKE); open-source contributions.
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