Software Engineer – CRG (Analyst / Associate)
at Goldman Sachs
Posted a day ago
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- Compensation
- Not specified USD
- City
- Dallas
- Country
- United States
Currency: $ (USD)
Join Goldman Sachs' Conflicts Resolution Group (CRG) Engineering in Dallas as a Software Engineer – CRG (Analyst / Associate). You will partner across CRG and other engineering teams to design and deliver end-to-end AI-enabled platforms, with a strong emphasis on AI/GenAI use cases. You will build, test, deploy, and maintain cloud-native services on an AWS stack, and apply modern AI techniques—LLMs, RAG, and AI agents—to solve business and risk-management problems. The role requires strong programming experience in Java and Python, familiarity with data stores and real-time systems, and a collaborative, cross-functional mindset.
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.
HOW YOU WILL FULFILL YOUR POTENTIAL- 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.
- 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.
- Experience in some of the following is desired and can set you apart from other candidates:
- 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.
