Founding Infrastructure Engineer
Core
Build and scale the enterprise infrastructure layer for Vision-Language Models (VLMs) to enable developers to fine-tune, specialize, and run models that convert images, PDFs, and video into structured data.
Role type
Senior/Staff Infrastructure Engineer (VLM/LLM)
Builds
Scalable VLM inference stack, developer APIs for multimodal apps, and production-grade visual intelligence systems.
Domain
Artificial Intelligence / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
VLM/LLM application integration, Python backend engineering, Kubernetes orchestration, cloud infrastructure (GCP/AWS), scalable data pipelines, API design, observability
Preferred skills
SaaS platform development, full-stack dev experience
Technologies
vLLM, OpenAI, HuggingFace, Ollama, FastAPI, Docker, Postgres, MongoDB, Redis
Responsibilities
Own and optimize the VLM inference stack from GPU serving to backend systems; Design clean, ergonomic APIs for multimodal applications; Take ideas from 0→1 to define production-grade visual intelligence standards.
Seniority
Senior or Staff-level, hands-on IC