Foundation Engineering, AI Platform, GenAI Search and Document Management Developer, Associate, Singapore
Summary
Build a low-latency distributed search platform and GenAI pipelines (RAG, knowledge graphs) to power Goldman’s AI Assistant and agentic tools using Java, Python, Elasticsearch, Kafka, and vector databases.
Goldman Sachs 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.
We are seeking for highly motivated Engineers to join our Search and DocAI organization.
The platform you will build acts as a central knowledge layer for the firm’s data which serves relevant search results to a diverse set of agentic systems and tools. You will be building a low latency distributed system that powers the Search system along with building capabilities that enhances search efficiency and accuracy of agentic use cases across the firm. 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.
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.
What you will do
- Collaborating effectively with colleagues to build an AI enabled platform for Document Digitization and Search.
- Conceptualizing, experimenting with, and assessing AI-based software systems.
- Developing, testing, and maintaining high-quality, scalable. production-ready code.
- Demonstrating technical leadership by taking charge of cross-team projects.
- Developing and deploying services in cloud native environment.
- Contributing to boost developer productivity with Generative AI.
Required Qualifications
- Min. 3 years' experience as a backend Java developer with experience writing multi-threaded, concurrent, scalable, and distributed applications
- Must be up to date on current and opensource stack (e.g. Kafka, ElasticSearch, gRPC, MongoDb etc.)
- Experience with writing microservices and distributed applications
- Knowledge of Python especially in the NLP and data manipulation area
- Knowledge of how search engines work and LUCENE
- Knowledge of vector database is a plus
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.
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Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.