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Описание вакансии
Текст:
TL;DR
Staff Frontend Software Engineer (AI): Building AI-native observability interfaces, streaming agent experiences, Slack integrations, CLI tooling, and MCP extensions with an accent on TypeScript architecture, complex interactive applications, and agentic AI workflows. Focus on designing trustworthy UIs for non-deterministic multi-step reasoning, shaping frontend technical direction, and improving LLM feature quality through production evaluation pipelines.
Location: Menlo Park, California, United States
Salary: $236,000–$339,200 annually
Company
Snowflake provides the AI Data Cloud and develops Observe, an AI-powered observability platform for processing logs, metrics, traces, and events at enterprise scale.
What you will do
- Set the technical direction for the AI Products frontend architecture, including component systems, state management, and rendering strategies.
- Design and build the frontend for AI SRE, Observe’s flagship AI-powered production troubleshooting product.
- Create agentic AI interfaces for multi-step reasoning, tool-use results, and real-time streaming responses.
- Develop conversational Slack surfaces and define the technical strategy for future platform integrations.
- Contribute to CLI tooling, LLM evaluation pipelines, MCP integrations, and extensible agent architectures.
- Mentor engineers and collaborate with product and design on roadmap and user experience decisions.
Requirements
- 10+ years of professional software engineering experience, including at least 6 years of frontend engineering on production products at scale.
- Expert-level TypeScript proficiency and deep experience building complex interactive web applications.
- Production experience with agentic AI systems, streaming workflows, and tool-use SDKs such as the Vercel AI SDK, Anthropic Agent SDK, or LangGraph.
- Strong server-side Node.js experience with APIs, middleware, and backend services.
- Experience implementing or consuming Model Context Protocol servers and designing extensible tool interfaces.
- Demonstrated technical leadership through architecture decisions, RFCs or design documents, mentoring, and product-focused collaboration; a BS/MS in Computer Science, Engineering, or equivalent experience.
Nice to have
- Experience building production evaluation pipelines for LLM-powered features.
- Experience with Bun, developer platforms, internal tools, or productivity infrastructure.
- Open-source contributions to AI tooling, observability, or developer experience projects.
- Familiarity with OpenTelemetry, logs, metrics, traces, APM, or Observe’s platform.
Culture & Benefits
- Startup-level autonomy, direct customer impact, and a small-team environment with minimal shipping bureaucracy.
- Snowflake-level infrastructure, data platform resources, and enterprise distribution.
- Opportunity to work on cutting-edge agentic AI and an AI-native experience layer for production systems.
- Fast-paced environment with technically challenging problems and broad ownership.
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