Global Investment Research-Associate-Software Engineering

Goldman Sachs; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Goldman Sachs is seeking an Agentic Systems Engineer to develop end-to-end full-stack AI-enabled tools and productionize intelligent pipelines. You will collaborate with senior engineers to implement RAG components, multi-agent workflows, and integrate AI services into GIR platforms.

The role requires hands-on experience in Java or Python, modern full-stack tech, and cloud services on AWS. You will participate in SDLC, CI/CD, and Agile sprints to deliver robust, scalable systems.

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, plus modern full-stack web technologies (React, TypeScript, FastAPI, Spring Boot).
• Experience building Gen AI apps using Google ADK, LangGraph, or equivalent agentic frameworks, vector databases, and AWS Bedrock.
• Experience implementing evaluation pipelines and prompt testing with Braintrust, AgentCore Eval, or equivalents.

Responsibilities

• Feature Engineering: Build and maintain end-to-end full-stack features with frontend-backend integration.
• Gen AI & Agent Implementation: Develop advanced RAG pipelines and multi-agent workflows with modern tools.
• Evaluation & Benchmarking: Create automated evaluation suites for contextual relevance and groundedness.
• Cloud & Data Integration: Deploy AI components on AWS with Lambda, ECS/Fargate, S3, EventBridge, and API Gateway.
• Observability & Incident Support: Monitor performance with CloudWatch and tracing; triage incidents.
• SDLC Discipline: Conduct code reviews, write tests, maintain CI/CD, and document patterns.
• Agile Collaboration: Work with stakeholders in Agile sprints to turn research into stories.

Skills

Java

Python

React

TypeScript

FastAPI

Spring Boot

LangChain

LangGraph

Google ADK

AWS Bedrock

Braintrust

AgentCore Eval

AWS Lambda

ECS/Fargate

S3

EventBridge

CloudWatch

API Gateway

Docker

Git

CI/CD

Education

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

Tools

Docker

Git

CI/CD

Job description

What We Do

At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Drive new businesses, redefine finance using AI, and seize opportunities at market speed.

Who We Look For

Goldman Sachs Global Investment Research (GIR) 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, implement advanced RAG components, and integrate AI services into mission-critical GIR platforms.

How You Will Fulfill Your Potential

• 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, incorporating structured outputs, tool calling, and human-in-the-loop steps.


• Evaluation & Benchmarking: Implement automated offline and online evaluation suites using tools such as Braintrust, AgentCore Eval, equivalent industry solutions, or custom test harnesses 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, EventBridge, S3, IAM policies, and API Gateway endpoints.


• Observability & Incident Support: Monitor model and service performance using CloudWatch and distributed tracing; triage production incidents, conduct root-cause analyses, and optimize token/resource consumption.


• SDLC Discipline: Actively participate in peer code reviews, write automated unit and integration tests, maintain CI/CD pipelines, and document integration patterns and data models.


• Agile Collaboration: Coordinate with business stakeholders and cross-functional teams in Agile sprints to translate research requirements into deliverable technical stories.

Basic 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.

Preferred 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 defending against prompt injection and unauthorized data access.


• Experience building asynchronous or event-driven microservices across polyglot Java and Python stacks.

Please note we will only respond to applications for which we have an interest.