Generative AI Solution Engineer
November 29
Description
• Collect and preprocess data from various sources • Define data requirements and set up data pipelines • Ensure data quality and semantic representation • Develop knowledge embeddings and process user queries • Generate responses using LLMs and post-process outputs • Maintain conversational history
Requirements
• Experience designing and implementing LLMs in cloud platforms • Hands-on experience with RAG and LLM fine-tuning • Strong technical skills in Python, SQL, and AWS • Proficient in production quality coding and version control • Understanding of DevOps practices and CI/CD pipelines • Experience working with data scientists and engineers
Benefits
• Flexible working options (remote, hybrid, office) • Insurance and health benefits • Extra ‘Birtholiday’ on your birthday • Remote Work Benefit to enhance home office • Yearly training budget
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