JobCannon
Kabèh kaprigelan

OpenLLM Model Serving

⬢ TINGKAT 2Teknis
+$25–40k
Pengaruh marang gaji
2 sasi
Wektu sinau
Angel
Tingkat kangelan
5
Karier
Ringkesané

OpenLLM is a framework for serving open-source LLMs (Llama, Mistral, Qwen, etc.) with OpenAI API compatibility. Deploy anywhere (Kubernetes, bare metal); zero vendor lock-in. Used by teams that need private, on-premise LLM inference. Salary: mid 150-170k. Learn in 6-8 weeks. Complements Kubernetes, LLM Fundamentals, and MLOps.

Apa iku OpenLLM Model Serving

OpenLLM is a framework (built on BentoML) for serving open-source language models (Llama, Mistral, Qwen, Baichuan, etc.). It exposes models via an OpenAI API-compatible server, enabling drop-in replacement for proprietary LLMs. Deploy anywhere: Kubernetes, EC2, bare metal, serverless. Full control, no vendor lock-in.

🔧 PIRANTI & EKOSISTEM
OpenLLM CLIBentoML FrameworkModel RegistryAPI ServerDeployment OptionsScaling & Load BalancingMonitoring IntegrationCustom Model Support

📋 Sadurungé panjenengan miwiti

Python

💰 Gaji miturut wilayah

WilayahAnomMadyaSepuh
USA$95k$160k$225k
UK£58k£102k£160k
EU€63k€107k€170k
CANADAC$90kC$150kC$210k

❓ FAQ

Is OpenLLM production-ready?
Yes, built on BentoML which is production-proven. Used by enterprises.
Can I use my own LLM weights?
Yes, OpenLLM supports custom models via BentoML's model registry.
What's the performance?
Comparable to vLLM; throughput depends on hardware and model size.
Can I deploy to Kubernetes?
Yes, OpenLLM generates Dockerfiles and Kubernetes manifests automatically.
Do I need GPU?
Recommended for reasonable latency; CPU inference is 10-100x slower.

Durung yakin kaprigelan punika cocog kanggo panjenengan?

Tindakna Kacocokan Karir — kita bakal nyaranaké jalur sing cocog.

Pados kaprigelan sing paling cocog kanggo kula →

Temokna dalan karir panjenengan sing ideal

Kacocokan adhedhasar kaprigelan saka 2.521 karir. Gratis, ~3 menit.

Tindakna Kacocokan Karir — gratis →