Software Engineer – CRG (Analyst / Associate)

Goldman Sachs • Dallas, TX

3h

About The Position

The Conflicts Resolution Group (CRG) is a control function with a primary objective to identify and mitigate the firm’s actual or perceived conflicts of interest and associated reputational risks which may result from the firm taking on a new role, responsibility, or position on a potential deal or with a potential counterparty. CRG Engineering plays a critical role in the development and support of software solutions aligned with the CRG objectives for improved risk management for the firm and ensuring a timely turnaround for our revenue divisions.

Partner globally across CRG and other Engineering teams to design and deliver end-to-end AI-enabled platforms.
Design, develop, test, deploy, and maintain services with a strong emphasis on AI/GenAI use cases.
Build scalable data processing, workflow, and API solutions across large datasets, real-time processing, and event-driven architectures.
Collaborate in an agile environment with product, legal, data science, and design partners to prototype ideas and share best practices.
Demonstrate willingness to learn, support, and modernize legacy systems that underpin critical conflicts resolution business processes.
Apply modern AI techniques—including LLMs, RAG, and agent-based frameworks—to solve business and risk-management problems.

Requirements

• Strong programming experience in Java and Python.
• Hands-on experience applying LLMs, prompt engineering, RAG, and AI agents to real-world problems.
• Strong analytical and problem-solving skills, with the ability to translate complex business and regulatory requirements into technical solutions.
• Experience with data stores and search technologies (e.g., SQL, MongoDB, Elastic) and familiarity with distributed or real-time systems (e.g., Kafka).
• Experience building AI agents, including tool use, planning, and orchestration.
• Experience building and deploying cloud-native services on an AWS stack, with strong grounding in automated testing, SDLC practices, and CI/CD pipelines.
• Excellent communication and collaboration skills across technical and non-technical stakeholders.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.
• 0–3+ years of relevant professional software engineering experience, depending on level.

Nice To Haves

• Experience with agent and RAG frameworks such as LangChain, LangGraph, and/or ADK.
• Frontend experience with React/Angular.
• Familiarity with platforms and tooling such as GitLab and Kubernetes.
• Knowledge of financial services or control functions such as legal, compliance, or risk management.

Responsibilities

• Partner globally across CRG and other Engineering teams to design and deliver end-to-end AI-enabled platforms.
• Design, develop, test, deploy, and maintain services with a strong emphasis on AI/GenAI use cases.
• Build scalable data processing, workflow, and API solutions across large datasets, real-time processing, and event-driven architectures.
• Collaborate in an agile environment with product, legal, data science, and design partners to prototype ideas and share best practices.
• Demonstrate willingness to learn, support, and modernize legacy systems that underpin critical conflicts resolution business processes.
• Apply modern AI techniques—including LLMs, RAG, and agent-based frameworks—to solve business and risk-management problems.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level