Software Engineer – AI-Driven Finance Platform

Goldman Sachs; Dallas (WV); On-site; USD 120,000 - 180,000; Full time

Job summary

Goldman Sachs is seeking a Software Developer to design, build, and maintain full-stack applications powering financial planning and risk platforms across global teams. You will collaborate with sponsors, users, and engineers to deliver end-to-end solutions, with emphasis on AI-assisted coding, multiagent AI systems, and scalable data pipelines.

You will own features from design to deployment, participate in code reviews, and stay current with AI/ML practices to drive reliable, observable

Qualifications

• BS/MS in computer science, computer engineering, or related field.
• 3+ years of proficiency in Java, with readiness to upskill.
• Full-stack development experience across front-end (React, JavaScript/TypeScript) and back-end (Java, Spring).
• Strong analytical and problem-solving skills with experience in algorithms and data structures.
• Proficiency in using AI tools for development and familiarity with AI concepts like prompt engineering and RAG.

Responsibilities

• Design, develop, and maintain full-stack apps across the software lifecycle.
• Build responsive front-end experiences and robust back-end services for planning and risk platforms.
• Leverage AI tools to accelerate development and improve code quality.
• Collaborate globally with sponsors, users, and engineers to meet complex requirements.
• Participate in code reviews and take technical ownership of features.

Skills

Java

React

JavaScript/TypeScript

Spring Framework

AI tool proficiency

AWS

Analytical thinking

Education

Bachelor's or Master's in CS/CE

Tools

APIs

Kubernetes

Job description

Goldman Sachs is seeking a Software Developer to design, build, and maintain full-stack applications powering financial planning and risk platforms across global teams. You will collaborate with sponsors, users, and engineers to deliver end-to-end solutions, with emphasis on AI-assisted coding, multiagent AI systems, and scalable data pipelines.

You will own features from design to deployment, participate in code reviews, and stay current with AI/ML practices to drive reliable, observable