Senior LLM Engineer

Job post for Senior LLM Engineer in Islamabad

What You'll Do

• 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.
• 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.

Responsibilities

• 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.
• 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.

Who You Are

• 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.
• 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.
• 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.
• 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.

Benefits & Compensation

• 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.
• 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.

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