Senior LLM Engineer

About the Role

<p>Job post for Senior LLM Engineer in Islamabad</p>

What You'll Do

• <p>Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.</p>
• <p>Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.</p>

Responsibilities

• <p>Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.</p>
• <p>Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.</p>

Who You Are

• <p>Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.</p>
• <p>Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.</p>

Minimum Requirements

• <p>Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.</p>
• <p>Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.</p>

Benefits & Compensation

• <p>Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.</p>
• <p>Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.</p>