Company Description
Whissle AI conducts cutting-edge research in low-latency, cost-effective, multi-modal real-time signal processing to power human-like voice-to-action experiences. Moving beyond slow, high-cost cloud AI APIs. Whissle develops local, air-gapped models, bots, and orchestration stacks that run entirely on-premise or on-device.
Our developer product, Whissle Gateway, encapsulates a complete 7-service architecture (ASR, Video Intelligence, TTS, WebRTC orchestration, and an Agent framework ) inside a single, highly optimized Docker container. We enable developers to process hundreds of concurrent audio-visual streams on a single local GPU node with zero data egress, breaking the cloud-cost bottleneck for enterprise AI.
Additionally we support most other vendors APIs into our platform.
Role Description (Equity-Based Consultant / Fractional)
We are looking for a hybrid Technical Content Engineer and Developer Evangelist to own the developer acquisition pipeline at Whissle. In this role, your “content” is high-quality code, reference architectures, open-source toolkits, and “build-in-public” engineering deep-dives.
You will be building real, production-ready applications (e.g., Next.js dashboards, complex multi-modal pipelines, and Model Context Protocol servers) that show developers exactly how to harness Whissle Gateway.
You will manage and scale our open-source footprint, build the foundations of whissle.ai/community, and create technical content that drives massive organic inbound interest across GitHub, HuggingFace, Hacker News, and technical social channels.
Day-to-Day Responsibilities• Build in Public: Develop, maintain, and ship open-source boilerplate projects, SDK wrappers, and complex reference applications (e.g., Next.js/React full-stack implementations, automated multi-modal analysis pipelines, and custom Python apps) built on top of Whissle Gateway.
• Ecosystem Engineering: Build and iterate on Whissle’s Model Context Protocol (MCP) integrations, custom LangChain/LlamaIndex components, and Pipecat voice-bot tools to natively inject Whissle into major developer ecosystems.
• Technical Evangeline Content: Translate complex architectural wins—such as achieving sub-200ms text-to-meaning or scaling 150 parallel voice streams on a single local GPU—into deep-dive technical articles, high-fidelity documentation, videos, and GitHub READMEs that capture developers’ attention.
• Manage whissle.ai/community: Act as the primary technical anchor for our open-source repositories. Define project action roadmaps, review community pull requests, and foster an elite ecosystem of outside contributors.
• Stress Test Endpoints: Interact directly with Whissle gateway services (Ports 8000, 8001, 8002, 8003, 8765, 9000), testing real-time WebSocket streams, batch PCM processing, Server-Sent Events (SSE), and video intelligence lanes to ensure developer-facing features are flawless.
Qualifications• Strong Software Development Skills: Highly proficient in Python and TypeScript/JavaScript (specifically full-stack Next.js or Node.js). You must be capable of writing production-grade code that developers want to fork.
• Real-Time Web Protocols: Deep comfort working with WebSockets, Server-Sent Events (SSE), RESTful APIs, and WebRTC streaming architectures.
• Infrastructure Familiarity: Hands-on experience with Docker, container networking, and local development environments. Experience configuring or running apps on local GPU instances is highly preferred.
• AI & Multi-Modal Concept Fluency: Practical exposure to Speech-to-Text (ASR, diarization, VAD, inline token extraction), Text-to-Speech (TTS), LLM agent workflows, or computer vision (video emotion tracking, gaze analysis, information retrieval).
• Content Production Portfolio: A visible history of creating technical examples, clear engineering documentation, GitHub repositories, or technical blogs that demonstrate an ability to teach complex concepts clearly to other engineers.
• Self-Driven & Action-Oriented: An open-source builder mindset. You can operate autonomously in a fast-paced remote startup environment, creating clean roadmaps and executing against them.
What We Offer
• A foundational, fractional consulting role with a path to a full-time leadership position as we scale.
• High-upside Equity/Token-based compensation package with milestones cleanly tied to ecosystem adoption and GitHub/Community traction.
• Direct access to cutting-edge local AI infrastructure research and the chance to reshape how the industry approaches privacy-first, low-latency agentic workflows.
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