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Onefish AI | AI Fullstack Engineer | San Diego, CA (On-Site/Hybrid) | Full-Time | Starting $80K + Competitive Equity (Path to $300K)

Onefish AI is building a revolutionary offline-first Progressive Web App (PWA) to deliver AI consulting to small and medium-sized enterprises (SMEs). We are disrupting the AI consulting market by providing robust, game-like AI tools that are 100% functional offline, boosting efficiency and cutting waste for real-world businesses. Our unique hybrid architecture combines browser-based Python execution (Pyodide) with intelligent cloud routing to empower businesses where connectivity is a challenge. We are looking for a Founding AI Fullstack Engineer to own and build this core hybrid architecture from the ground up. This is a rare blend of: Cutting-edge R&D (multi-agent AI systems, browser ML) Advanced Engineering (offline PWAs, Pyodide, Go/FastAPI routing) Direct Business Impact (building solutions that solve immediate SME problems) The ideal candidate will be an expert in Python (specifically for single-source browser + cloud runtimes) and have deep experience with Svelte, Pyodide, FastAPI, Go, PostgreSQL, and Docker. You will be responsible for everything from PWA Service Worker architecture and data synchronization to multi-agent LLM design and model optimization for offline performance. If you are a builder energized by creating a highly complex and unique tech stack to solve a massive market need, we want to talk to you. This role offers the Lead Engineer → CTO trajectory. To apply, submit your Resume + GitHub + 1-page cover letter + 3 references to: [email protected] Subject: "Candidate: AI Fullstack Engineer - [Your Name]"

Note on Compensation & Growth: The $80K is a starting base salary, with a clear path to $300K+ total compensation (salary, bonuses, equity, and benefits) based on demonstrated technical contribution and business performance.


Hi Gavin, This is David from Onefish AI. If you are interested in the below position, please apply. Thanks

Job description AI Fullstack Engineer

Location: On-Site & Hybrid

Job Type: Full-time

Salary: Competitive, starting at $80K, with a potential equity + path to $300K based on contribution to business performance (details to be discussed)

1. About Us

Onefish AI is building a revolutionary offline-first PWA that delivers AI consulting to SMEs—100% functional offline. Our hybrid architecture combines browser-based Python execution with intelligent cloud routing to empower small businesses with game-like AI tools that boost efficiency and cut waste.

We're a fast-paced startup pushing boundaries in multi-agent AI for real-world business optimization.

2. Role Overview

We're hiring a founding AI Fullstack Engineer to build our core hybrid architecture from the ground up. This is a rare blend of:

Cutting-edge R&D (multi-agent AI systems) Advanced browser/cloud engineering (offline PWAs + smart routing) Direct SME impact (building solutions for real businesses) You'll ship: Offline PWA → Smart cloud integration → Multi-agent AI consulting workflows

3. Tech Stack Overview:

BROWSER: Svelte PWA + Pyodide / Rust,C++ / Tensorflow.js (Offline ML)

CLOUD: Go Router → FastAPI → PostgreSQL

4. Key Responsibilities

FRONTEND & PWA (Offline Resilience)

Architect the PWA Foundation: Build the Svelte PWA and configure a robust Service Worker to ensure all essential code and assets (including Pyodide runtime and models) are aggressively cached for a guaranteed offline experience. Pyodide Integration: Implement Pyodide/Web Workers for executing offline Python AI functions, ensuring a non-blocking, high-fidelity user experience. Tiered UX Design: Develop the logic for Free (local-only, interpreter-based) and Premium (local/cloud toggle, accelerated) AI execution tiers. Asset Lifecycle Management: Implement seamless, version-controlled updates and smart caching for large Python packages and serialized model files. BACKEND & CLOUD (Hybrid Routing)

Intelligent Router Development: Build the lightweight Go (Gin or similar) router responsible for dynamically deciding whether a client request should be executed locally (in Pyodide) or routed to the cloud FastAPI worker. API Development: Develop highly performant FastAPI endpoints for parallel and large-scale AI cloud processing. Data Synchronization: Design and implement resilient, conflict-free data sync mechanisms between browser storage (IndexedDB) and the central PostgreSQL database. DevOps & Infrastructure: Manage Dockerized services and orchestrate production deployments across cloud platforms (e.g., Netlify/Heroku). AI/ML INTEGRATION

Runtime Portability: Develop single-source Python AI functions capable of execution within both the constrained Pyodide runtime and the native FastAPI environment. Model Optimization: Employ techniques (quantization, pruning, knowledge distillation) to create highly efficient, lightweight models specifically for offline execution. Multi-Agent Systems: Design and deploy sophisticated multi-agent LLM systems to automate complex business consulting workflows. SME DEPLOYMENT

Work directly with small businesses to analyze workflows and build tailored AI solutions. Manage production deployments (e.g., Netlify/Heroku for PWA, cloud platforms for APIs).

5. Must-Have Technical Skills

Core Stack Svelte, Pyodide, FastAPI, Go (Gin), PostgreSQL, Docker Python Expert. Single-source code for browser + cloud runtimes Frontend PWA development, Svelte/TypeScript/Vite, service workers Backend FastAPI APIs + basic Go HTTP routing DevOps Docker Compose, Netlify/Heroku deployment AI/ML Pyodide ML, model optimization, multi-agent LLM systems Business Tools Microsoft Office Suite (Excel for workflow analysis, PowerPoint for client presentations, Word for documentation)

6. Preferred Qualifications

Architecture: Proven experience with hybrid cloud-edge applications and data synchronization strategies. Advanced AI: MS/PhD in CS/AI or equivalent research experience in LLMs or specialized models. Performance: Experience with highly performant Wasm pipelines using Rust/C++ or deep knowledge of TensorFlow.js/ONNX.js for browser GPU acceleration. Ecosystem: Familiarity with vector databases (e.g., Pinecone, ChromaDB) or advanced data science tooling.

7. Compensation & Growth

Starting: $80K base + competitive equity (discussed at time of offer) Upside: $300K+ total comp potential (salary + bonuses + equity + benefits) Benefits: PTO (other benefits based on company milestone, discussed at interview) Growth Path: Lead Engineer → CTO trajectory

8. Why Join Us?

Own the architecture as founding engineer Transform SMEs with genuinely needed AI tools Unique stack: Pyodide + Go + Svelte + multi-agent LLMs Prestige: Lead cutting-edge edge-compute AI R&D with real business impact

9. Application Process

Submit: Resume + GitHub + 1-page cover letter + 3 references (1 Character Reference and 2 Technical References) Introductions + SME Case Study: 1-hour Technical Screen: 1-hour Live Coding: 2-hours Offer: Within 1 week Apply: [email protected]

Subject: "Candidate: AI Fullstack Engineer - [Your Name]"


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