12 дней назад
Full Stack Engineer (AI)
175 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full Stack Engineer (AI) (Svelte/SvelteKit, Go, MongoDB): Building data-rich interfaces and backend services for materials discovery, with an accent on scientific visualization, real-time laboratory monitoring, and AI agent integration. Focus on designing protobuf and RPC contracts, rendering large datasets efficiently, and shipping features across TypeScript, Go, Python, and MongoDB.
Location: Brooklyn Navy Yard, New York City, United States; on-site
Salary: $175,000–$225,000 per year
Company
Building software for materials discovery and AI-assisted scientific research.
What you will do
- Build high-fidelity interfaces in Svelte and SvelteKit for scientists and engineers working with large experimental datasets.
- Create scientific data visualizations, interactive graphics, and performant interfaces with real-time reactivity.
- Integrate frontend experiences with AI agents, including tool calls and streaming responses.
- Extend the Go backend with RPC endpoints, business logic, and server-streaming capabilities for live laboratory state.
- Design backward-compatible Protocol Buffer schemas and update generated TypeScript, Go, and Python clients.
- Model MongoDB data, maintain indexes and production migrations, and own features end to end from schema through UI.
Requirements
- At least 4 years of professional experience with TypeScript, HTML, and CSS; experience with responsive and mobile-first design.
- Strong experience with modern frontend frameworks and reactive state management; Svelte or SvelteKit is preferred.
- Professional server-side development experience in Go or another statically typed, compiled language.
- Experience with API contracts, preferably gRPC and Protocol Buffers, plus databases, data modeling, indexes, and production migrations.
- Hands-on data visualization experience with D3, SVG, canvas, or comparable technologies.
- Ability to work on-site at the Brooklyn Navy Yard.
Nice to have
- Experience with agentic systems, prompting, MCP, or AI frontend integrations.
- Real-time delivery technologies such as server-streaming RPCs, WebSockets, SSE, or database change streams.
- Testing with Playwright or Vitest, API mocking, CI/CD, observability, or advanced browser APIs.
Culture & Benefits
- Work closely with a team conducting AI research and materials science discovery.
- Use AI-assisted development workflows.
- Competitive base salary, equity, and benefits.
- Equal employment opportunity regardless of protected characteristics.
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