AI · vision-language · industrial
ABOUT THE ROLE
Join an early-stage industrial AI startup as a founding engineer building the multimodal AI core of wearable tools for field technicians. You will own production vision-language systems from model orchestration through deployment on real hardware.
WHAT YOU'LL DO
- Build and ship agentic vision-language pipelines that support industrial workflows such as inspections and standard operating procedures.
- Develop evaluation frameworks, capture failure cases, and use field data to improve model quality across releases.
- Adapt model orchestration and edge inference to changing connectivity, latency, and hardware constraints.
- Create real-time voice and video interfaces, including conversational and proactive assistance modes.
- Fine-tune and optimize open-weight multimodal models for enterprise and on-premise deployment.
WHAT WE'RE LOOKING FOR
- Typically 2 to 6 years of experience shipping production vision-language or multimodal AI systems, with Python and PyTorch.
- Experience owning AI product outcomes, including agent loops with tool use, model orchestration, evaluation, and data improvement workflows.
- Applied experience with fine-tuning methods such as SFT or RLHF, plus deployment and inference optimization. Pretraining from scratch is not the focus.
- Familiarity with technologies such as vLLM, Triton, Ray Serve, ONNX, TensorRT, Hugging Face Transformers, quantization, and edge AI.
- Background in computer vision, wearable or AR systems, industrial AI, or related applied multimodal work. Experience with on-premise models or const