AI Engineer for Production ML/LLM Systems (Finance)

Goldman Sachs Group, Inc. (old); Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Goldman Sachs in Dallas seeks an Associate Software Engineer focused on AI engineering to design and build AI-powered tools that assist investment professionals. You will work at the intersection of software engineering and applied AI, turning large language models into production‑grade applications for the alternatives business.

Responsibilities include building AI-powered apps, integrating models via APIs, implementing RAG and prompt frameworks, and collaborating with data scientists and

Qualifications

• 6+ years of software engineering experience.
• Experience building and deploying applications that leverage large language models or generative AI.
• Understanding of LLMs and capabilities across platforms.
• Experience with retrieval-augmented generation (RAG) and vector stores.
• Familiarity with RESTful APIs, cloud services, and modern software practices.
• Strong communication and collaboration in a fast-paced environment.

Responsibilities

• Build and maintain AI-powered applications that automate and enhance investment workflows.
• Design and develop APIs, data pipelines, and backend services that integrate AI models.
• Implement retrieval-augmented generation (RAG) systems and prompt engineering frameworks.
• Collaborate with investment professionals, data scientists, and product stakeholders to translate business needs into technical solutions.
• Ensure reliability, scalability, and security of AI-driven applications in production.
• Stay current with evolving AI landscape and evaluate new tools and techniques.

Skills

Software engineering

Python

Java/TypeScript

AI/ML

RESTful APIs

Cloud services

LLM / Generative AI

RAG

Tools

LangChain

LlamaIndex

Docker

Kubernetes

AWS/GCP/Azure

Job description

Goldman Sachs in Dallas seeks an Associate Software Engineer focused on AI engineering to design and build AI-powered tools that assist investment professionals. You will work at the intersection of software engineering and applied AI, turning large language models into production‑grade applications for the alternatives business.

Responsibilities include building AI-powered apps, integrating models via APIs, implementing RAG and prompt frameworks, and collaborating with data scientists and