Gen AI & Agentive Platform Engineer

Goldman Sachs Group; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Goldman Sachs in Singapore is seeking an Agentic Systems Engineer to build, enhance, and productionize intelligent research tools and automated agentic pipelines. You will collaborate with senior engineers to develop end-to-end full-stack applications and integrate AI services into GIR platforms.

You will work across Java or Python stacks, leverage LangChain and AWS Bedrock, implement RAG pipelines, and contribute to testing, CI/CD, and Agile delivery to accelerate data-driven decision making.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.
• 3–5 years of hands-on software engineering experience with proficiency in Java or Python, combined with modern full-stack web technologies (e.g., React, TypeScript, FastAPI, Spring Boot).
• Practical experience building Gen 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 SDLC tooling, automated testing, Git, Docker, and CI/CD automation.

Responsibilities

• Feature Engineering: Build and maintain end-to-end full-stack features, integrating analyst-facing frontends with backend APIs and microservices implemented in Java or Python.
• Gen AI & Agent Implementation: Implement and optimize advanced RAG pipelines and stateful multi-agent workflows using Google ADK, LangChain, LangGraph, AWS Bedrock, or equivalent technologies.
• Evaluation & Benchmarking: Implement automated offline and online evaluation suites to assess contextual relevance, groundedness, and hallucination reduction.
• Cloud & Data Integration: Deploy and connect AI components with enterprise services on AWS, configuring Lambda, ECS/Fargate, S3, and API Gateway endpoints.
• Observability & Incident Support: Monitor model and service performance using CloudWatch and tracing; triage incidents and optimize resource usage.
• SDLC Discipline: Participate in code reviews, write automated tests, maintain CI/CD pipelines, and document integration patterns.
• Agile Collaboration: Work with stakeholders in Agile sprints to translate research requirements into deliverable technical stories.

Skills

Analytical thinking

Team collaboration

Problem solving

Education

Bachelor’s degree in Computer Science, Software Engineering, Applied Mathematics, or related quantitative field

Tools

Java

Python

React

TypeScript

FastAPI

Spring Boot

Google ADK

LangGraph

AWS Bedrock

Braintrust

AgentCore Eval

Lambda

ECS/Fargate

S3

EventBridge

CloudWatch

API Gateway

Git

Docker

CI/CD

Job description

Goldman Sachs in Singapore is seeking an Agentic Systems Engineer to build, enhance, and productionize intelligent research tools and automated agentic pipelines. You will collaborate with senior engineers to develop end-to-end full-stack applications and integrate AI services into GIR platforms.

You will work across Java or Python stacks, leverage LangChain and AWS Bedrock, implement RAG pipelines, and contribute to testing, CI/CD, and Agile delivery to accelerate data-driven decision making.