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Goldman Sachs

Advises on mergers and trades stocks and bonds

AI Enabled Modernization Agentic Software Engineer

AI Application EngineeringUpdated on Nov 14
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • Strong proficiency in Python, Go, Java, JavaScript, or similar languages, with a deep understanding of distributed systems and cloud-native architecture such as AWS, Azure, or internal private clouds.
  • Direct experience deploying and operating large language model-based agents in production environments.
  • Familiarity with frameworks such as LangGraph, AutoGPT, or custom-built orchestration layers.
  • Experience designing benchmarks, evaluations, and quality metrics for artificial intelligence systems.
  • A proven track record of applying agentic patterns to at least two of the following: autonomous synthesis of large-scale datasets; self-healing infrastructure and automated root-cause analysis; dynamic resource allocation and cost management; or multi-step task decomposition and execution in non-deterministic environments.
  • Ability to thrive in a 0-to-1 environment, work with ambiguity, and build novel systems.

Responsibilities

  • Design and deploy multi-agent systems capable of autonomous planning, reasoning, and execution across distributed cloud environments.
  • Build human-in-the-loop systems, evaluation frameworks, and observability mechanisms that enable continuous agent improvement.
  • Design and build integrations with APIs, developer tooling, continuous integration and continuous delivery pipelines, data platforms, or operational systems.
  • Partner with business units to identify high-impact agent use cases and translate ambiguous business needs into technical agentic workflows.

Desired Qualifications

  • Demonstrated interest in emerging agentic technologies such as multi-agent reinforcement learning and swarm intelligence, with willingness to experiment, learn, and apply approaches where they create practical business value.
  • Familiarity with Model Context Protocol, A2A, and other emerging standards for agent-to-tool communication.
  • Strong communication skills to bridge technical agentic logic and human-centric business processes.

About the Company

Goldman Sachs

Advises on mergers and trades stocks and bonds

Goldman Sachs advises companies and governments on mergers, raises money for them by selling their stocks and bonds, and trades securities for big investors such as hedge funds and pension funds. It led Ford Motor's 1956 stock market debut, then the largest share sale in US history. Traders buy and sell stocks, bonds, currencies, and commodities for clients and lend them money, while bankers earn a fee on each deal they advise on or arrange. Its asset and wealth management arm invests for institutions and wealthy families and charges fees based on the money it oversees. The firm was founded in 1869, when it began brokering short-term IOUs for New York merchants, and it is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1869

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