- Collaborate directly with internal groups and end users across various functions to build bespoke AI agents and user-facing applications tailored to nuanced, real-world business needs.
- Lead and contribute to greenfield AI projects, taking full ownership from concept through production, including hands-on coding, iteration, and deployment, while helping shape internal AI strategy and adoption.
- Build, evaluate, and deploy AI coding agents and developer tooling that meaningfully accelerate software development workflows across the firm.
- Rapidly prototype and integrate emerging AI tools and model capabilities across platforms, moving quickly from experiment to production to enhance usability, scalability, and effectiveness.
- Scale the adoption of AI tools firmwide by developing best practices, frameworks, and reusable components that drive innovation and productivity.
- Build foundational AI components, such as agent frameworks, reusable "skills," and large-scale retrieval systems, to support AI tools and applications.
- Design, develop, and maintain shared AI infrastructure and agentic applications, ensuring firmwide data integration and enhancing software development efficiency.
Applied AI Engineer
D. E. Shaw · Hedge fund · New York · Mid-level · Posted 2025-01-21
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