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Goldman Sachs

Advises on mergers and trades stocks and bonds

Global Investment Research - Software Engineer, Agentic Systems, Associate, Singapore

AI Application Engineering +1Updated on Nov 11
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.
  • Three to five years of hands-on software engineering experience with proficiency in Java or Python and modern full-stack web technologies such as React, TypeScript, FastAPI, or Spring Boot.
  • Practical experience building generative AI applications using Google ADK, LangGraph, or equivalent agentic frameworks, vector databases, and AWS Bedrock.
  • Experience implementing evaluation pipelines and prompt testing with Braintrust, AgentCore Eval, equivalent technologies, or custom benchmark harnesses.
  • Working knowledge of core AWS services, including Lambda, ECS/Fargate, S3, EventBridge, CloudWatch, and API Gateway.
  • Solid understanding of standard software development lifecycle tooling, automated testing, Git, Docker, and continuous integration/continuous deployment automation.

Responsibilities

  • Build and maintain end-to-end full-stack features, integrating analyst-facing frontends with backend APIs and microservices implemented in Java or Python.
  • Implement and optimize advanced retrieval-augmented generation pipelines and stateful multi-agent workflows using Google ADK, LangChain, LangGraph, AWS Bedrock, or equivalent technologies, incorporating structured outputs, tool calling, and human-in-the-loop steps.
  • Implement automated offline and online evaluation suites using Braintrust, AgentCore Eval, equivalent industry solutions, or custom test harnesses to assess contextual relevance, groundedness, and hallucination reduction.
  • Deploy and connect AI components with enterprise services on AWS, configuring Lambda, ECS/Fargate, EventBridge, S3, IAM policies, and API Gateway endpoints.
  • Monitor model and service performance using CloudWatch and distributed tracing; triage production incidents, conduct root-cause analyses, and optimize token and resource consumption.
  • Participate in peer code reviews, write automated unit and integration tests, maintain continuous integration/continuous deployment pipelines, and document integration patterns and data models.
  • Coordinate with business stakeholders and cross-functional teams in Agile sprints to translate research requirements into deliverable technical stories.

Desired Qualifications

  • Exposure to financial domain data, investment research workflows, or enterprise content authoring tools.
  • Practical understanding of token optimization, prompt caching, and latency reduction strategies.
  • Familiarity with guardrail frameworks that defend against prompt injection and unauthorized data access.
  • Experience building asynchronous or event-driven microservices across polyglot Java and Python stacks.

About the Company

Goldman Sachs

Advises on mergers and trades stocks and bonds

Goldman Sachs advises companies and governments on mergers, raises money for them by selling their stocks and bonds, and trades securities for big investors such as hedge funds and pension funds. It led Ford Motor's 1956 stock market debut, then the largest share sale in US history. Traders buy and sell stocks, bonds, currencies, and commodities for clients and lend them money, while bankers earn a fee on each deal they advise on or arrange. Its asset and wealth management arm invests for institutions and wealthy families and charges fees based on the money it oversees. The firm was founded in 1869, when it began brokering short-term IOUs for New York merchants, and it is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1869

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