---
title: 'Software Engineer, Fullstack at Sciforium'
canonical: 'https://feeny.ai/job/software-engineer-fullstack-sciforium-san-francisco-w1txtdc4f5gz'
type: 'job'
last_seen: '2026-09-06'
---

# Software Engineer, Fullstack at Sciforium

- **Company:** Sciforium
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-07
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/sciforium/b5c36095-9588-437e-ab75-f46925517b0c

## Job description

Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.

## ABOUT THE ROLE

This role offers a unique opportunity to work on the core systems that power Sciforium’s multimodal AI models. You’ll help build the model serving platform working across C++, Python, runtime execution, and distributed infrastructure to create a fast, reliable engine for real-time AI applications.

You’ll gain hands-on experience with performance engineering, learn how large AI models are optimized and deployed at scale, and collaborate closely with ML researchers and experienced systems engineers. If you enjoy delighting customers with a great Developer Experience, care deeply about performance, and want exposure to the full AI stack, this role provides both high-impact work and strong growth potential.

## WHAT YOU'LL DO

- Interactive AI Chat interface: Design and build a low-latency, chat-like interface for users to test our LLMs.
- Developer Console: Build the mission-critical UI where users generate API Keys, set budget limits, and view real-time usage graphs
- Payments & Billing: Integrate Stripe (or similar) to handle complex subscription models.
- Documentation Portal: creating a dynamic API reference section
- CLI/SDK Integration: Write simple client-side wrappers to help users connect to our API endpoints easily.
- Backend APIs: Building secure API gateways and implementing low latency streaming solutions.

## IDEAL CANDIDATE PROFILE

- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
- 3+ years of software engineering experience, with a focus on front end development.
- Strong proficiency in Typescript, Python.
- Understanding of responsive design, and UX fundamentals
- Strong collaboration and communication skills, with the ability to work effectively across engineering and ML teams.
- Comfortable working from the office and contributing to a fast-moving, high-ownership team culture.

## NICE-TO-HAVE

- Experience with ML systems engineering, open source inference engine like vLLM, Sglang, or TRT-LLM
- 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.
- 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 API 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

## BENEFITS INCLUDE

- Medical, dental, and vision insurance
- 401k plan
- Daily lunch, snacks, and beverages
- Flexible time off
- Competitive salary and equity

## EQUAL OPPORTUNITY

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 Sciforium

## Company Overview
- **One-liner**: Sciforium is building a vertically integrated AI infrastructure platform that owns its hardware (AMD GPUs) to deliver cost-effective, high-performance inference and foundation model training across text, image, video, and audio modalities.
- **Entity Type**: Private (Seed Stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Hassan Akbari

## Core Business
- **Primary Industry**: AI Infrastructure / Generative AI
- **Target Customers**: B2B; AI teams and enterprises that need scalable, multimodal AI inference and model serving without managing their own infrastructure.
- **Mission**: To rebuild AI serving infrastructure from the ground up—owning the hardware and optimizing the entire pipeline end to end—so that any team, regardless of size or budget, can access the best AI capabilities across every modality without compromise.

## Products & Services
- **AI Inference API**: A drop-in replacement for the OpenAI API format, supporting streaming, tool use, structured outputs, and async generation. Runs on Sciforium’s own AMD hardware for lower cost and stronger privacy.
- **Evaluation Platform**: Built-in pipelines to monitor model performance in real time, catch regressions, and benchmark across models.
- **Native Agents Infrastructure**: Serverless platform for running AI agents at scale without managing servers.
- **Model Library**: Access to state-of-the-art open-source models across text, image, video, and audio (e.g., DeepSeek, Wan2, speech models).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding of $3.9M (Seed round closed June 2024)
- **Notable Investors/Partners**: Backed by AMD and SignalFire
- **Growth Signals**: Headcount grew 160% YoY to 8 employees; 10 active job postings as of mid-2025; 99.98% uptime claimed; N+1 power and N+2 cooling redundancy with liquid-cooled infrastructure.

## Competitive Advantages
- **Vertical Integration**: Owns its own AMD hardware and runs its own data centers, removing intermediaries and markups—leading to lower costs and predictable performance.
- **Multimodal Native**: Built from the ground up to handle text, image, video, and audio in a single API, unlike many competitors that focus on text-only.
- **Privacy & Control**: By running on dedicated infrastructure (not shared servers), customers get stronger data privacy guarantees.
- **High Ambition Culture**: Team includes alumni from Google DeepMind, Microsoft, Amazon, Snowflake, Qualcomm, and Columbia University.

## Strategic Focus
- **Infrastructure Ownership**: Continuing to invest in its own AMD GPU clusters and data center operations to maintain cost and performance advantages.
- **Multimodal Expansion**: Scaling support for all data types (text, image, video, audio) with a single API.
- **Agent Readiness**: Building native support for AI agents at scale.
- **Open-Source Ecosystem**: Supporting the latest open-source models on day one.

## Why Work Here
- **Culture**: Highly independent, self-motivated, and creative environment. Small enough that your work is visible from day one. Principles include relentless quality, outcome ownership, and high ambition.
- **Work Policy**: Hybrid and in-office roles available. Offices in San Francisco (HQ) and Los Altos, California.
- **Team**: Small, high-caliber team with deep experience from Google DeepMind, Snowflake, Amazon, Qualcomm, and other top AI/infra companies.
- **Perks**: Work on hard infrastructure problems that matter, at a company backed by AMD and SignalFire. Opportunity to shape the foundation of AI infrastructure from an early stage.

## Sources
1. [sciforium.com](https://sciforium.com/)
2. [sciforium.com/company](https://sciforium.com/company)
3. [linkedin.com/company/sciforium](https://www.linkedin.com/company/sciforium)
4. [builtin.com/company/sciforium](https://builtin.com/company/sciforium)
5. [jobs.ashbyhq.com/sciforium](https://jobs.ashbyhq.com/sciforium)

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