LLM Engineer, Generative AI

May 29

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Qarik Group

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Co-create Your Cloud-Native Future with Qarik: Go further, faster.

Google Cloud Migrations • Machine Learning • Kubernetes • Data Analytics • Google Cloud Platform

51 - 200

Description

• Required hands-on experience with design and implementation of applications using Large Language Models (LLM). More specifically: • Python programming • Google PaLM, OpenAI GPT, LLaMA, or similar models • LangChain, LlamaIndex, or similar frameworks • Advanced prompt engineering • Retrieval Augmented Generation (RAG) • Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar) • Develop applications on Google Cloud, work with customers to understand their requirements, suggest new ideas and features to the team to further improve the product, and implement the new functionalities with a passion for quality • Implement best practices and state of the art techniques for AI and LLMs, and work on research, experimentation and implementation of novel methods

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • LLM model fine-tuning • Embedding model fine tuning • Shell scripting • Google Cloud Vertex AI (AutoML, AI APIs, etc) • Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving) • MLOps (ideally on GCP) • Data Engineering (including SQL)

Benefits

• Strong ethics • Strong technical aptitude • Engineering mindset/developer background • Strong sense of ownership and teamwork • Curious, always learning to get better • Enjoys working with clients • Excellent communication skills