As a Full-Stack AI Engineer
, you'll own verticals from UI to backend to AI pipelines
. You'll be at the core of how users talk to BOTty, get suggestions, and trust automation.
Desktop/Cloud/AR mobile interface for fallback control
Secure web portal for automation editing logs and remote access
Explainability UI:
Why did BOTty do this
Local-first backend for event logs, Zero Conf device discovery, and API routing
Authenticated SSL tunnel gateway (no cloud relay), Real-time routines, preferences, and presence tracking
AI & AutomationBuild and fine-tune agentic routines (Learn, Observe, Adapt, React)
On-device ML for micropatterns, low-latency NLU, and safety checks
Personalization ledger, feedback loops, and bandit-style decision tuning
Our StackFrontend: React, Lit, Tailwind, Shadcn UI
Backend: Python, FastAPI, SQLite, Postgre
SQL, Mongo DB, TLS tunnels
AI: CrewAI, Lang Chain, Llama Index, ONNX, OpenAI API
Infra: RPi 5, Jetson, Cloud
Dev Ops: Docker, Dev Containers, Git Hub Actions, OTA modules, local-only CI
Requirements- Have built and shipped agentic AI apps
, ML-driven products, or full-stack SaaS - Love debugging both frontend micro-interactions and low-level sensor events
- Are comfortable working on hardware like Jetson/RPi or eager to learn
- Enjoy working across disciplines: AI, UX, home automation, privacy
- Can take vague product ideas and make them real fast
- Won or placed in hackathons
- Built your own SaaS product(s) or dev tools
- Know Zigbee, BLE, Matter, or embedded Linux
- Have contributed to open-source AI or Web3 projects
- Enjoy voice UX, reactive UI, or agent architectures
- Competitive compensation, equity
- Work directly with founding team on product 0, 1
- Build something with lasting impact, privacy-first
- Fast-paced, respectful, async-friendly team culture
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