{"id":"a74317b2-92aa-4b01-ad5f-b525740c63a5","company":{"id":"4de43dc6-f043-11ef-ab86-0a892d3d843c","company_stack":[],"company_gallery":[],"company_stats":[],"company_about_section":null,"company_benefit_section":[],"company_testimonial_section":[],"company_culture_section":[],"onboarding_process":null,"ticker_logos":[],"gtn_companies":[],"role_category":[],"cta_color":"#333333","name":"JP Morgan Chase","short_name":"JP","slug":"jp-morgan-chase","description":"<p>Docusign, Inc. is an American software company headquartered in San Francisco, California that provides products for organizations to manage electronic agreements with electronic signatures on different devices. As of 2024, Docusign has about 1.5 million clients in 180 countries. Signatures processed by Docusign are compliant with the US ESIGN Act and the European Union&#39;s eIDAS regulation, including EU Advanced and EU Qualified Signatures.</p>\n<p>Docusign, Inc. is an American software company headquartered in San Francisco, California that provides products for organizations to manage electronic agreements with electronic signatures on different devices. As of 2024, Docusign has about 1.5 million clients in 180 countries. Signatures processed by Docusign are compliant with the US ESIGN Act and the European Union&#39;s eIDAS regulation, including EU Advanced and EU Qualified Signatures.</p>\n<p>In April 2018, Docusign filed for an initial public offering. At the time of the IPO, the largest shareholders were venture investment firms Sigma Partners, Ignition Partners, Frazier Technology Ventures, and former CEO Keith Krach was the largest individual shareholder. None of the original founders are major shareholders. 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As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</p><p> <strong>  Job responsibilities </strong></p><ul> <li>  Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain </li> <li>  Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries. </li> <li>  Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization </li> <li>  Communicate effectively with both technical and non-technical stakeholders </li> <li>  Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. </li> 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