We are seeking a skilled Generative AI Engineer to join our dynamic team who is eager to solve enterprise problems with GenAI. We are embarking upon many critical AI initiatives to help improve employee productivity, developer productivity, and improve business growth. You will be directly involved innbsp; innovating and contributing to these highly demanding AI initiatives. You will be responsible for designing, developing, and deploying generative AI applications to solve complex enterprise problems. You are eager to learn, determined to adapt quickly, and comfortable with some ambiguity in requirement.
This position is an individual contributor role, reporting tonbsp; Senior Director, Data Platform and ML Platform, and is designated Onsite.
Responsibilities
Evaluate different Large Language Models and Small Language Models, both closed and open source, for performance, latency, cost, and hallucination.
Enable various GenAI business use cases utilizing Docusign infrastructure with a focus on security and governance.
Optimize GenAI applications for enhanced performance, scalability, and reliability
Fine-tune GenAI models for enhanced performance, scalability, and reliability
Integrate generative models or applications into existing systems and workflows seamlessly
Implement effective prompt techniques to reduce token usage and improve output accuracy
Integrate disparate structured and unstructured datasets and documents into a vector database for an effective RAG system, incorporating a knowledge graph as needed
Build a robust data pipeline system to ingest and manage data from various sources
Evaluate and implement leading data anonymization and PII detection techniques
Build an auditing system for monitoring usage, ensuring security and cost efficiency
Establish best practices for data loss protection by collaborating with security organizations
Stay current with the latest advancements in GenAI technologies.
Document processes, models, and code to ensure maintainability and reproducibility
Collaborate with security, privacy, legal, and infrastructure teams to implement business use cases