GenAI Engineer

3 - 8 years

5 - 10 Lacs

Posted:Just now| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design and implement evaluation pipelines for both closed and open-source Large and Small Language Models, capturing key metrics such as performance, latency, cost, hallucination, helpfulness, harmlessness, quantization, and fine-tuning
  • Develop advanced Textual Information Retrieval, classification, and clustering algorithms using frameworks like SpaCy, NLTK, and Hugging Face
  • Enable GenAI business use cases on Docusign infrastructure with a strong emphasis on security and governance
  • Build autonomous and workflow-based agents for business applications using CrewAI or similar agentic frameworks, and support agentic AI platforms
  • Drive world-class implementation of the no-code agentic platform Glean, developing custom agents to serve as AI assistants for employees
  • Fine-tune GenAI models to optimize performance, scalability, and reliability
  • Support buy vs. build evaluations for GenAI solutions
  • Implement prompt engineering best practices to minimize token usage and improve output accuracy; contribute to a centralized prompt library
  • Develop robust tools to automate RAG pipeline creation, integrating diverse datasets into vector databases and incorporating knowledge graphs as needed
  • Help building conversational tools to answer business questions from structured data systems ( analytical AI or QueryGPT) and applications like ChatGPT for the enterprise
  • Conduct research to advance generative AI and apply findings to real-world use cases
  • Document processes, models, and code to ensure maintainability and reproducibility
  • Collaborate with business teams to translate requirements into effective technical solutions

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Docusign

Software Development

San Francisco CA

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