by onefishai | 2025-10-20 22:54:50+00:00
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: jobs@onefishai.com

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