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Salary
≈ $25k – $55k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Principal

First seen by Alion on Sep 28, 2026.

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D. E. Shaw is an investment and technology development firm headquartered in New York City and founded in 1988 by David E. Shaw. The firm runs quantitative and discretionary strategies across equities, credit, macro, and private markets, building its own research and trading systems in house. It manages tens of billions of dollars, is known for hiring heavily from mathematics and computer science, and has spun out several notable technology founders.

We are looking for a highly experienced Software Developer to join our GAI Tech team at the D. E. Shaw India office. The GAI Tech team is responsible for building infrastructure and applications of generative AI (GAI) within the firm. The team's objectives consist of identifying the most productive GAI models, providing tools for sophisticated GAI-based applications, creating initial iterations of GAI tools, and offering support for technical staff involved with GAI projects.

Responsibilities:

  • Improve areas such as developer productivity, process efficiency, making DESCO data easy to use with LLMs, and promoting generative AI for BU-specific adoption.
  • Focus on user education and promoting interdepartmental collaboration. Catalyze the research, development, and integration of GAI technologies, emphasizing user education and support for other technical teams within the organization.
  • Develop and integrate AI tools to enhance productivity and development, which includes AI-powered assistants for writing and coding, powered assistants for writing and coding, tools for AI tools for AI infrastructure, and custom AI components.
  • GAI Tech is also dedicated to infrastructure and custom AI components. Simplify GAI utilization across the firm through optimized to simplifying GAI utilization across the firm through optimized developer tooling, easier programmatic ways to integrate LLMs, and developer tooling, easier programmatic ways to integrate LLMs, and fostering ready fostering ready-to-use applications for developers.
  • Embrace open-ended experimentation and ongoing evaluation, supporting the team's continuous quest to advance GAI models and techniques.
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