Software Engineer, Global Investment Research, Agentic Systems, Associate

Goldman Sachs

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Dallas, TX
Posted
1 day ago
Freshness
Confirmed live today

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Similar $200k
$144k $253k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$237,262.

Based on 240 similar postings.

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About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 79 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 35 roles with salary data.

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At a glance

TL;DR · Software Engineer, Global Investment Research, Agentic Systems, Associate

Software Engineer, Global Investment Research, Agentic Systems - Associate will join the Global Investment Research team to build, enhance, and productionize intelligent research tools and automated agentic pipelines. The role involves developing end-to-end full-stack features, implementing advanced RAG components, and integrating AI services into mission-critical platforms. Key responsibilities include building backend APIs and microservices, optimizing stateful multi-agent workflows, and deploying AI components on AWS. The candidate will utilize Java, Python, React, TypeScript, FastAPI, and Spring Boot alongside tools like Google ADK, LangChain, LangGraph, AWS Bedrock, and Braintrust. Technical tasks include configuring Lambda, ECS/Fargate, and S3, while managing CI/CD pipelines and automated testing. This position solves technical challenges in investment research workflows by creating scalable, production-ready generative AI systems.

What does a Software Engineer earn in Texas?

Median $173350 from 184 postings across 44 companies.

See salary data

What you'll do

  • Build and maintain end-to-end full-stack features using Java or Python for analyst-facing frontends and backend APIs.
  • Implement and optimize advanced RAG pipelines and stateful multi-agent workflows using LangChain, LangGraph, or AWS Bedrock.
  • Develop automated offline and online evaluation suites to assess model contextual relevance and hallucination reduction.
  • Deploy and connect AI components with enterprise services on AWS including Lambda, ECS/Fargate, and S3.
  • Monitor model performance and service health using CloudWatch and distributed tracing to triage production incidents.
  • Write automated unit and integration tests and maintain CI/CD pipelines for all software components.
  • Translate research requirements into technical stories and deliverable features during Agile sprints.

What we're looking for

  • 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.
  • Proficiency in modern full-stack web technologies such as React, TypeScript, FastAPI, and Spring Boot.
  • Practical experience building Gen AI applications using Google ADK, LangGraph, vector databases, and AWS Bedrock.
  • Experience implementing evaluation pipelines and prompt testing with Braintrust, AgentCore Eval, 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.
  • Exposure to financial domain data, investment research workflows, or enterprise content authoring tools (preferred).

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