GenAI Search & Document Platform Engineer (Associate)

Goldman Sachs; Singapore; On-site; SGD 100,000 - 160,000; Full time

Benefits offered by this job

Healthcare & Medical Insurance

Holiday & Vacation Policies

Financial Wellness & Retirement

Health Services & EAP

Job summary

Goldman Sachs in Singapore is seeking an Associate Software Engineer to join the Foundation Engineering, AI Platform, GenAI Search and Document Management group. You will build low-latency distributed systems and contribute to AI-enabled search and knowledge management capabilities.

You will collaborate with cross-functional teams to design, implement, and operate scalable services in a cloud-native environment, focusing on performance, reliability, and impact across the firm's data-driven

Qualifications

• Backend Java developer with multithreaded, concurrent, scalable distributed applications.
• Experience with microservices and distributed architectures.
• Knowledge of NLP with Python and information retrieval techniques.

Responsibilities

• Collaborate to build an AI-enabled platform for Document Digitization and Search.
• Conceptualize, experiment, and evaluate AI-based software systems.
• Develop, test, and maintain production-grade code.
• Provide technical leadership on cross-team projects.
• Develop and deploy services in a cloud-native environment.
• Contribute to boost developer productivity with Generative AI.

Skills

Java backend

Multithreaded systems

Microservices

Python NLP

Lucene search

Distributed systems

Tools

Kafka

ElasticSearch

gRPC

MongoDB

Job description

Goldman Sachs in Singapore is seeking an Associate Software Engineer to join the Foundation Engineering, AI Platform, GenAI Search and Document Management group. You will build low-latency distributed systems and contribute to AI-enabled search and knowledge management capabilities.

You will collaborate with cross-functional teams to design, implement, and operate scalable services in a cloud-native environment, focusing on performance, reliability, and impact across the firm's data-driven