LLM Engineer

Job Description:

• Model Development & Optimization: Design, train, fine-tune, and evaluate large language models (LLMs) for performance, efficiency, and alignment with product or research goals.
• Systems Integration & Deployment: Implement scalable inference pipelines, optimize serving infrastructure (e.g., quantization, caching, distillation), and integrate models into applications or APIs.
• Research & Cross-Functional Collaboration: Lead experimentation with new architectures, prompt-engineering techniques, or retrieval systems, and collaborate with product, data, and ML operations teams to translate research into production features. Model Development & Optimization: Design, train, fine-tune, and evaluate large language models (LLMs) for performance, efficiency, and alignment with product or research goals.
• Systems Integration & Deployment: Implement scalable inference pipelines, optimize serving infrastructure (e.g., quantization, caching, distillation), and integrate models into applications or APIs.
• Research & Cross-Functional Collaboration: Lead experimentation with new architectures, prompt-engineering techniques, or retrieval systems, and collaborate with product, data, and ML operations teams to translate research into production features.
• As a DevOps Contractor, you will streamline and automate the software development and deployment processes to enhance efficiency and reliability.
• Develop and maintain CI/CD pipelines to automate the software build, test, and deployment processes.
• Collaborate with development and operations teams to ensure seamless integration and delivery of applications.
• Monitor and optimize system performance, ensuring high availability and scalability.
• Implement and manage infrastructure as code (IaC) to automate provisioning and configuration of resources.
• Perform regular security assessments and apply necessary patches and updates to maintain system integrity.

Primary Skill Required for the Role:

• Machine Learning

Level Required for Primary Skill:

• Advanced (6-9 years experience)

Additional Details for Role:

• Large language models, infrastructure, weights, and deployments