17 Aug
|
Qubrid AI
|
Raipur
Read everything carefully. The requirements and screening questions are critical and if not answered correctly and satisfactorily will result in auto-rejection and waste of your time.
Work from Home.
This is a full time role. If you plan to do 2 or more jobs at the same time or want to do this part-time, that won't work for us. In that case please do not apply as it will get auto-rejected
Note - this job requires working late night India time until 4 AM to overlap with USA working times. Do not apply if this timing doesn't work
Salary depends on experience and current verifiable (paychecks) compensation.
Junior candidates with 2 years experience are suitable
About Qubrid AI
Qubrid AI is building the next generation AI infrastructure platform that enables organizations to deploy, scale, and monetize AI workloads across cloud, on-premises, and hybrid environments. Our platform combines GPU cloud infrastructure, inference APIs, model deployment services, RAG pipelines, fine-tuning capabilities, and AI orchestration software into a unified AI stack.
We are seeking an experienced and hands-on AI Inference Engineer to design, optimize, and scale large-scale AI inference systems supporting thousands of concurrent users and enterprise AI workloads.
Role Overview
As an AI Inference Engineer, you will be responsible for deploying, optimizing, and operating open-source and commercial AI models across NVIDIA GPU infrastructure. You will work at the intersection of machine learning, distributed systems, GPU optimization, and cloud infrastructure to deliver low-latency, high-throughput AI services.
This is a highly technical role requiring deep expertise in LLM serving, GPU performance tuning, model optimization, inference frameworks, and large-scale production deployments.
Responsibilities
AI Model Deployment & Serving Deploy and manage Large Language Models (LLMs), multimodal models, vision models, speech models, and embedding models in production.
Build and optimize inference
📌 Ai inference junior engineer wfh (Raipur)
🏢 Qubrid AI
📍 Raipur