Associate Software Engineer, AI Engineering

Goldman Sachs

Quick summary

Work type: On-site
Location: Dallas, TX
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $199k

$137k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $162,000–$235,750.

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 187 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.

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At a glance

TL;DR · Associate Software Engineer, AI Engineering

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As an Associate Software Engineer on the Asset Management Engineering team at Goldman Sachs in Dallas, you will focus on AI engineering, designing and building AI-powered tools that revolutionize investment workflows. Your day-to-day responsibilities include developing APIs, data pipelines, and backend services to integrate advanced AI models into existing platforms, implementing RAG systems, and ensuring the reliability and scalability of these applications in production. You will collaborate closely with investment professionals and data scientists to translate business needs into technical solutions while staying abreast of emerging AI technologies. The role requires proficiency in Python and another programming language like Java or TypeScript, experience with large language models, and familiarity with cloud services and modern software development practices.

Skills

Python Java TypeScript OpenAI Gemini Llama Claude RESTful APIs AWS GCP Azure Docker Kubernetes LangChain LlamaIndex Graph RAG Knowledge graphs RAG Vector stores CI/CD

What you'll do

Design and build AI-powered tools that automate investment workflows.
Develop APIs and data pipelines integrating AI models into existing platforms.
Implement retrieval-augmented generation systems and prompt engineering frameworks.
Ensure reliability, scalability, and security of AI-driven applications in production.
Stay updated with the latest AI technologies and evaluate their practical application.

What we're looking for

2+ years of software engineering experience
Proficiency in Python and another programming language like Java or TypeScript
Experience building and deploying applications using large language models and generative AI
Knowledge of retrieval-augmented generation (RAG) systems and vector stores
Familiarity with RESTful APIs, cloud services, and modern development practices
Strong problem-solving skills and ability to work in a fast-paced environment
Effective written and verbal communication skills

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