Company Overview
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
What you'll do
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 in 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 to 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
Job Designation
Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
What you bring
Basic
- Bachelor's or Master's degree in Computer Science or a related field
- 3+ years of relevant experience with a Master's degree or 5+ years with a Bachelor's degree
- Good understanding of RAG, embedding, knowledge graphs, and training LLMs
- Proficiency in vector databases for embedding Familiarity with data preprocessing, augmentation, and visualization techniques
- Experience in NLP and Technical know-how of effective prompt engineering. Proficiency in cloud platforms such as Azure and AWS
- Good understanding of agentic workflows in GenAI
- Hands-on expertise on various Azure services such as Azure Search, App Services, API Management, RBAC, VNet, resources, VM, Cosmos DB, etc. Proficiency in programming languages (e.g., Python, Bash, React ), LangChain, and Streamlit
- Ability to develop complex applications in LLM, including developing chatbots and AI agents to replace human support
- Experience with AWS services such as VPC, IAM, MWAA, and containerization technologies like Docker and Kubernetes
- Familiarity with software development best practices, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD)
Preferred
- Strong commitment to engineering excellence through automation, innovation, and documentation
- One or more certifications such as Cloud, Solution Architect, Technical Architect, or GenAI-related certifications
- Experience with Google Cloud Platform
- Familiarity with software development best practices, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD), infrastructure as code (Terraform) automation
- Strong problem-solving skills and the ability to think creatively
Life at Docusign
Working here
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live.
Accommodation
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at [Confidential Information].
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [HIDDEN TEXT] for assistance.
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