Job Description

What We Do: 

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

Generative AI & Document AI Platform team develops and operates the AI platform services needed to enable Generative AI use cases using Large Language Models (LLM) across the firm in a safe and responsible manner while enabling experimentation, development, and productization of GenAI use cases.

The team is responsible for enabling document-to-information workflow and use cases across the firm. This includes support for document processing, information extraction, labeling, custom model development, document storage, and use of documents with RAG and LLMs.

Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for thought leaders who are passionate about digital transformation, increasing operational efficiency through automation, reduce technical debt and develop highly scalable and reliable applications. They should be creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment.

 

YOUR IMPACT

Goldman Sachs is seeking a senior application developer to join our dynamic Generative AI & Document AI Platform team. As an integral part of the team, you will play a pivotal role in building scalable platforms on the cloud and driving the adoption of cutting-edge Generative AI technologies at the firm. In this role, you will have the opportunity to contribute to various AI/ML domains, including but not

limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems. As an experienced AI Researcher, you will help address the unique challenges that arise in machine learning systems within the financial domain. Join us in redefining the boundaries of what's possible in the intersection of quantitative research and artificial intelligence! Your Responsibilities Will Include

• Minimum 1 year - 2.5 years of relevant industry experience
• Strong programming expertise in Python
• Experience with relational databases (e.g. SQL, Postgres) and non-relational databases (e.g. Mongo, DynamoDB)
• Experience of using and developing RESTful web Services
• Experience in building scalable distributed platforms on AWS
• Experience or interest in building mission critical and highly available systems
• Experience of end-to-end design and implementation of software products
• Team player, eager to work in a regional agile/scrum pod within a global organization
• Analytical mindset, creativity, and commercial focus to deliver optimal solutions for the business.

  Strong oral and written communication skills

Preferred Qualifications:

• Experience with the some of the following is advantageous, but not mandatory:
• Architecting distributed platforms for optimal performance, scalability, availability, and reliability
• Runtime containers (e.g. Kubernetes, Docker)
• Full stack development with a major web SPA framework such as React or Angular
• Familiar with CI/CD, DevOps, and SRE principles
• Familiarity with technologies like Langchain and RAG

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer

', 'CorporateDescriptionStr' : '', 'OrganizationDescriptionStr' : '', 'ShortDescriptionStr' : 'What We Do: At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.', 'ContentLocale' : 'en', '