What are the responsibilities and job description for the Software Engineer, Frontend position at Sciforium?
Sciforium is an AI infrastructure company that develops advanced AI models and operates a proprietary serving platform. Following new multi-million dollar funding and direct sponsorship from AMD, along with dedicated support from AMD engineers, the team is now entering full operational mode with ambitious growth plans. The company is focused on expanding its engineering team with multiple ML engineers who will develop GPU-level kernels and contribute to the core technology stack. Sciforium offers a collaborative work environment with high impact and autonomy.
About The Role
We are building a high-performance serverless inference platform and are looking for a founding Frontend Engineer to own the "Face" of our product.
You will build the Developer Console where our users manage their API keys, track usage, pay for credits, and most importantly interact with our models in real-time via a high-performance "Playground".
You won't just be centering divs; you will be visualizing token streams at 100s of tokens/second, building real-time analytics dashboards, and creating a developer experience that feels instantaneous.
What You Will Build (Responsibilities)
Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
About The Role
We are building a high-performance serverless inference platform and are looking for a founding Frontend Engineer to own the "Face" of our product.
You will build the Developer Console where our users manage their API keys, track usage, pay for credits, and most importantly interact with our models in real-time via a high-performance "Playground".
You won't just be centering divs; you will be visualizing token streams at 100s of tokens/second, building real-time analytics dashboards, and creating a developer experience that feels instantaneous.
What You Will Build (Responsibilities)
- The "Playground": Design and build a low-latency, chat-like interface for users to test our LLMs. This involves handling Server-Sent Events (SSE) for streaming tokens, rendering Markdown/Code blocks in real-time, and managing complex state (temperature, top_p, max_tokens) controls.
- Developer Console: Build the mission-critical dashboard where users generate API Keys, set budget limits, and view real-time usage graphs (requests/second, latency, token counts).
- Payments & Billing: Integrate Stripe (or similar) to handle complex subscription models, pay-as-you-go credit top-ups, and auto-recharging triggers.
- Documentation Portal: creating a dynamic API reference section (using tools like Redoc or Swagger UI) that allows users to test API calls directly from the browser.
- SDK Integration: Write simple client-side wrappers (JavaScript/TypeScript) to help users connect to our OpenAI-compatible API endpoints easily.
- Core: React, Next.js (App Router preferred), TypeScript.
- Styling: Tailwind CSS (we need a clean, modern, "Vercel-like" aesthetic).
- State/Data: React Query (TanStack Query) or SWR for caching API data.
- Visualization: Recharts or Visx for usage analytics charts.
- Streaming: Native EventSource API or custom hooks for handling LLM token streams.
- 3 Years of Frontend Experience: You have shipped complex web apps, not just landing pages.
- Streaming Expertise: You understand the difference between WebSockets and Server-Sent Events (SSE) and know how to handle "jittery" network streams without freezing the UI.
- Dashboard Experience: You have built admin panels that manage CRUD operations, API keys, or sensitive user data.
- Billing integration: Experience integrating Stripe Elements, managing webhooks for payment success/failure, and handling "SaaS" logic (pro-rating, tiers).
- Documentation Mindset: You appreciate good DX (Developer Experience). You know how to render an OpenAPI (Swagger) spec into a readable web page.
- Python/Backend Knowledge: You can read a FastAPI or vLLM backend codebase to understand how data is being sent to you.
- WebGl / Canvas: Experience using tools like Three.js to create unique visualizations for model architecture or embeddings (future roadmap).
- Open Source: You have contributed to or used AI tools like Vercel AI SDK, LangChainJS, or HuggingFace.
- Medical, dental, and vision insurance
- 401k plan
- Daily lunch, snacks, and beverages
- Flexible time off
- Competitive salary and equity
Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.