Building next-generation Real Time communication and media technology powered by AI. The platform enables seamless multilingual experiences across live streams, video-on-demand, meetings, and voice communication. Proprietary models focus on preserving tone, emotion, and context with ultra-low latency and strong security guarantees. The product is trusted by large global organizations across media, finance, and enterprise use cases.

We are seeking a highly experienced Full Stack Engineer with a strong product mindset and a focus on exceptional user experience. You should have 7+ years of software development experience, including at least 4 years building production-grade full stack systems. The ideal candidate has experience designing and building AI-enabled products with rich, complex interfaces. This is not a simple CRUD or E-commerce application. Think closer to a fully featured video editing or media platform. Experience with streaming products, the media industry, and applied AI models is a strong plus.

• Design and build a scalable, responsive platform for applying AI models to live streams, video content, and video editing workflows
• Lead end-to-end development across Back End and frontend, ensuring high performance, reliability, and maintainability
• Act as a technical and product leader, using strong intuition for UX and product quality to guide engineering decisions
• Drive alignment on architectural decisions and mentor junior and mid-level engineers
• Collaborate closely with cross-functional teams to bring applied AI and ML capabilities into production systems

4 to 8 years of experience in full stack or backend-focused software development.

Competitive Salary depending on experience, plus a significant equity package.

• Visa sponsorship is not available.
• Transfers may be considered.
• Currently operating virtually with plans to establish an in office presence.
• This is a full time role based in the San Francisco Bay Area.
• Reports directly to a senior engineering leader.

Python, AWS, AI and LLMs, Kubernetes, Rust, RAG, LangChain or LangGraph, Docker, GStreamer, LoRA, Grafana, SRT, HLS, FFmpeg

• Team size of approximately 30 employees.
• Founded in 2023.
• Backed by $14M in funding.
• Teams distributed across major US tech hubs.