Generative AI Scientist
Job Description:
• Join our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data.
• Develop applications on Google Cloud.
• Work with customers to understand their requirements.
• Suggest new ideas and features to the team.
• Improve the product and implement new functionalities with a passion for quality.
• Implement best practices and state-of-the-art techniques for AI and LLMs.
• Work on research, experimentation, and implementation of novel methods.
Requirements:
• Required hands-on experience designing and implementing applications using Large Language Models (LLM).
• Python programming.
• Google Gemini, 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).
• The ideal candidate will also have experience in one or more of the following:
• 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:
• Comprehensive Health Insurance
• Paid Leave (Vacation/PTO)
• Paid Holidays
• Sick Leave
• Parental Leave
• Bereavement Leave
• 401 (k) Employer Match
• Employee Referral Bonuses
Apply Now
Apply Now
• Join our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data.
• Develop applications on Google Cloud.
• Work with customers to understand their requirements.
• Suggest new ideas and features to the team.
• Improve the product and implement new functionalities with a passion for quality.
• Implement best practices and state-of-the-art techniques for AI and LLMs.
• Work on research, experimentation, and implementation of novel methods.
Requirements:
• Required hands-on experience designing and implementing applications using Large Language Models (LLM).
• Python programming.
• Google Gemini, 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).
• The ideal candidate will also have experience in one or more of the following:
• 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:
• Comprehensive Health Insurance
• Paid Leave (Vacation/PTO)
• Paid Holidays
• Sick Leave
• Parental Leave
• Bereavement Leave
• 401 (k) Employer Match
• Employee Referral Bonuses
Apply Now
Apply Now