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GenAI Developer
DocuSign
posted 1mon ago
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Flexible timing
Key skills for the job
Job Description
We are seeking a skilled Generative AI Developer 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. The ideal candidate will have a strong background in artificial intelligence, and machine learning, with a specific focus on generative models. 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 requirements.
This position is an individual contributor role, reporting to the Senior Director, Data Platform ML Operations.
Responsibility
- Evaluate different Large Language Models and Small Language Models, both closed and open source, for performance, latency, cost and hallucination
- Develop GenAI applications using NLP techniques and libraries (e.g., NLTK, SpaCy, Hugging Face Transformers), and validate outputs using APIs
- Enable various GenAI business use cases utilizing Docusign infrastructure, with a focus on security and governance
- Fine-tune GenAI models for enhanced performance, scalability, and reliability
- Integrate generative models or applications into existing systems and workflows seamlessly
- Assist in evaluating buy vs. build decisions for enterprise search solutions and contribute to building if necessary
- 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
- Assist with building chatbots to answer business questions from structured data systems (analytical AI or QueryGPT)
- Conduct research to advance the state-of-the-art in generative AI and apply findings to practical applications
- Stay current with the latest advancements in AI and machine learning technologies
- Document processes, models, and code to ensure maintainability and reproducibility
- Collaborate with business teams to understand business requirements and translate them into technical solutions
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 positions 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 and NLP
- Ability to work with large datasets and perform data analysis
- Technical know-how of effective prompt engineering
- Experience with enterprise or workspace search implementation
- Good understanding of agentic workflows in GenAI
- Proficiency in programming languages (e.g., Python, Bash), LangChain, and Streamlit
- Ability to develop complex applications in LLM, including developing chatbots and AI agents to replace human support
- Proven experience with machine learning and deep learning techniques, especially generative models
- Familiarity with cloud technologies like Azure (AI Search, Cosmos DB, Azure Functions etc), AWS(Open Search, Dynamo DB etc), Devops process
Preferred
- Proficiency in ML model development
- Experience with Slack integration, building a conversational bot
- Excellent communication skills with the ability to liaise effectively with both business and technical teams
- Strong problem-solving skills and the ability to think creatively
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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