IN EmploymentAlert | AlertBoot | Senior LLM Architect
Skip to Main Content

Job Title


AlertBoot | Senior LLM Architect


Company : AlertBoot


Location : Jodhpur, Rajasthan


Created : 2025-01-07


Job Type : Full Time


Job Description

Opportunity DescriptionOpportunity to work on various AI initiatives with the Founder of AlertBoot. You will be a senior member of an existing team that reports directly to Tim MaliyilRole DescriptionThis is a full-time remote role for a Senior LLM Architect at AlertBoot. The Senior LLM Architect will be responsible for architecture, software development, integration, architectural design, and project management tasks on a day-to-day basis.QualificationsLLM Fine-Tuning & Customization: Expertise in fine-tuning LLMs, including the use of Low-Rank Adaptation (LoRA) and prompt engineering for custom, high-performance model adaptations.Advanced Architectures: Proficiency with RAG and other state-of-the-art architectures for retrieval-augmented generation and context-aware response generation.GCP Proficiency: Strong experience with GCP services, including FireStore, BigQuery for data management, and Cloud Run for scalable model serving and to support globally distributed, scalable deployments.Vector Databases: Experience with vector databases (e.g., Pinecone, FAISS) to enhance retrieval systems and support accurate, contextually rich recommendations.Distributed Systems: In-depth knowledge of deploying and managing language models across distributed infrastructures, with familiarity in multi-cloud or hybrid cloud setups.Programming & Libraries: Advanced skills in Python; experience with tools such as Hugging Face, TensorFlow, PyTorch, and specialized LLM toolkits.Data Processing & Pipeline Management: Expertise in managing and optimizing data pipelines for globally distributed, large-scale data processing.Scaling for High Volume: Proven ability to design and optimize systems capable of supporting millions of users with minimal latency.MLOps & CI/CD: Experience with CI/CD for model deployments and MLOps practices, particularly in distributed settings.Additional Tools: Familiarity with Kubernetes, Docker, and model monitoring tools to support seamless model operation across distributed environments.Bachelor’s or Master’s degree in Computer Science or related fieldStrong problem-solving and analytical abilitiesMust have minimum 7-10 years of work experience.Be able to show live work productPay starts at $5,000 USD per month.