Generative AI Engineer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Employment Authorization
Analytics
Research
Pivotal
Information Retrieval
Testing
IT Management
Artificial Intelligence
Boost
Productivity
Generative Artificial Intelligence (AI)
Computer Science
Machine Learning (ML)
Mathematics
Statistics
Physics
Finance
Software Development
Workflow
Equities
Fixed Income
Programming Languages
Python
C++
Java

Job Details

Hiring: W2 Candidates Only



Location: USA



Visa: Open to any visa type with valid work authorization in the USA

Client has a unique and differentiated set of data, including proprietary content, analytics, and research; leveraging these unique datasets and content will enable the firm to double down on its existing strengths and harness the power of Generative AI.



Client is seeking Generative AI Scientist to join our dynamic GenAI Solutions team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge Generative AI technologies at the firm interacting directly with our business.



In this role, you will have the opportunity to contribute to various Generative AI domains, including boosting developer productivity with Retrieval-Augmented Generation (RAG) pipelines and knowledge graphs for information retrieval.



As an AI Scientist, you will help address the unique challenges that arise in generative AI systems within the financial domain and contribute to the development of Goldman's AI Assistant to empower our business.



Your responsibilities will include:

  • Collaborating effectively with colleagues to advance production machine-learning systems and applications.
  • Conceptualizing, experimenting with, and assessing AI-based software systems.
  • Developing, testing, and maintaining high-quality, production-ready code.
  • Demonstrating technical leadership by taking charge of cross-team projects.
  • Developing Retrieval-Augmented Generation (RAG) techniques to enhance AI systems.
  • Contributing to boost developer productivity with Generative AI.



Required Qualifications:

  • A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
  • A minimum of 5 years of experience in the industry that demonstrates your expertise.
  • Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.
  • Proficiency in contemporary programming languages like Python, C++, or Java.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.