Founding Infrastructure Engineer

We’re building
VLM Run
— a unified infrastructure platform that enables developers to fine-tune, specialize, and run Vision-Language Models (VLMs) that convert images, PDFs, screenshots, and video into reliable, schema-true structured data.

This is production-grade multimodal AI — built for scale, security, and SLAs.

We’re hiring exceptional engineers who want to define what that future looks like.

What You’ll Do

Platform & Infrastructure

• Own and optimize the VLM inference stack end-to-end (GPU serving, latency/cost optimization, scalability, reliability)
• Build high-performance backend systems that support multimodal workloads
• Architect systems designed for observability and production uptime

Developer Experience

• Design clean, ergonomic APIs for multimodal applications
• Implement structured outputs, function/tool calling, and workflow orchestration
• Build systems developers genuinely enjoy using

High Agency + Velocity

• Take ideas from 0→1
• Set the engineering quality bar
• Help define “production-grade visual intelligence”

What You Bring

(BS + 4+ Years Experience)

• Built or integrated apps using OpenAI, HuggingFace, Ollama, vLLM, or similar
• Strong grasp of prompt engineering, structured outputs, function calling

Backend Engineering

• Python (advanced)
• FastAPI
• Async API design
• Schema validation, caching, performance optimization

Infra & DevOps

• Docker, Kubernetes
• CI/CD pipelines
• Observability (logging, metrics, tracing)
• GCP or AWS

Data Systems

• Postgres, MongoDB, Redis
• Experience building scalable, reliable data pipelines

Engineering Discipline

• TDD and strong testing practices
• Clean, maintainable code
• GitHub workflows (PRs, reviews, CI)
• High ownership mindset

Bonus

Have you shipped a full-stack SaaS or dev platform end-to-end (landing pages → auth → billing → telemetry → infra)?

Why Join

• $150K–$220K salary
• 0.5–3% meaningful equity
• Competitive seed-stage compensation
• Healthcare + 401K
• High-impact founding role
• In-person collaboration (4 days/week) in Santa Clara (right off 101 near AMD HQ)

Additional Job Application Terms

This job is part of LinkedIn’s Full-Service Hiring beta program. Eligibility is limited to candidates located in and performing services in the United States, excluding those based in Alaska, Hawaii, Nevada, South Carolina, or West Virginia.

We’re committed to making our hiring process as smooth and timely as possible, and we understand that waiting to hear back can add to the anticipation. If you’re a potential fit, our team will reach out within two weeks to progress you to the next stage. If you don’t hear from us in that time, we encourage you to explore other opportunities with our team in the future, and we wish you the very best in your job search.