Engineering - Associate-Software Engineering

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 3 years - 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