Staff Product Engineer, Gen AI

Job not on LinkedIn

🔥 7 hours ago

🦬 Wyoming – Remote

infoinfo

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

Where this job comes from

Posted on Venice.ai's careers page, not through a job board

First seen by Remote Rocketship 7 hours ago

Still open on Venice.ai's site. Checked 2 hours ago.

Logo of Venice.ai

Venice.ai

51 - 200 employees

Founded 2024

🤖 Artificial Intelligence

☁️ SaaS

🔌 API

🔥 Funding within the last year

💰 $65M Series A on 2026-06

Artificial Intelligence • SaaS • API

Venice. ai is a privacy-focused AI platform that provides access to leading third-party and open-source models for generating text, images, video, audio, code, embeddings, and agents. The company emphasizes user privacy through anonymized access, zero data retention for self-hosted models, Trusted Execution Environments (TEEs), and client-side end-to-end encryption. Venice offers a unified API compatible with OpenAI and agent stacks, developer tools (SDKs, LangChain, OpenAI SDK compatibility), and products for creators and enterprises with tiered pricing plans. Its features include multimodal generation, image and video creation/editing/upscaling, text-to-speech and music generation, and support for uncensored models.

📋 Description

• Build sophisticated, intuitive tools for creators working with generative video and images • Shape Venice Studio’s product experience with product and design, from identifying useful workflows through shipping • Lead technical design and implementation across frontend and backend systems for web and desktop creator tools • Work with inference engineers to turn model capabilities into product features • Design within Venice’s privacy constraints, including storage, encryption, and cross-device experiences • Contribute to adjacent agentic experiences where creator tools and workflows overlap

🎯 Requirements

• Deep TypeScript and React expertise • Substantial hands-on Rust experience • Experience building complex creator-facing applications, ideally video editing or generation tools • Familiarity with major generative video models • Experience integrating GenAI capabilities into an application • Ability to make architecture decisions, write code, and move from ambiguous ideas to shipped products • Thoughtfulness about privacy and ability to build within technical constraints • Collaboration with product, design, and engineering partners • Experience with WebAssembly, Tauri, Swift, cloud infrastructure, or cross-device storage

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