Founding AI Engineer

We're looking for an AI Engineer with 1-5 years of experience in applied AI/ML who has shipped agentic multimodal systems to real users — not just RAG wrappers or single-turn chatbots. You should be comfortable building production VLM pipelines with real hardware constraints (latency, power, connectivity) and have a track record of owning AI systems end-to-end in fast-paced environments. Bonus points if you have wearable AI, autonomous driving, or industrial domain experience. What you’ll do: Build and ship the production agentic-VLM pipeline running on industrial smart glasses — multi-step, tool-using visual-reasoning loops against real customer workflows (SOPs, inspection, field service). Own model orchestration and runtime optimization for edge inference, trading off model quality against latency with graceful fallback across connectivity conditions. Design and build the eval harness and data flywheel from scratch — failure-mode capture, customer-data fine-tune loops, and measurable model quality improvements each release. Ship real-time voice-video AI interfaces adapted to different end-user profiles: video-heavy, conversational speech, and proactive alerts. Build RAG pipelines for efficient creation and querying of enterprise knowledge bases from field operator data. Drive multimodal model training when needed for on-premise deployments: open-source model SFT, RL post-training, and quantization. #J-18808-Ljbffr Getclera