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# Research Software Developer, Agentic AI

- **Company:** StaffRight Associates
- **Location:** New York, United States (Remote available)
- **Salary:** $250,000.0
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, Automated Storage and Retrieval Systems, Code Generation, Computational Biology, Distributed Systems, Python (Programming Language), Machine Learning, High Performance Computing, Generative AI, Information Technology, Virtual Agents
- **Published:** August 9, 2026
- **Apply:** https://www.dice.com/job-detail/093c3afb-aa03-4ff7-88d5-eca25c6a073e

## About the Role

* Academic Pedigree: Bachelor''s, Master's, or Ph.D. in Computer Science, Applied Mathematics, Physics, Quantitative Finance, or a related STEM discipline.
 * Technical Mastery: Strong command of core technical concepts and tools such as Python, Agentic AI, Generative AI, Retrieval Systems, Distributed Systems, Machine Learning, and Automated Workflows.
 * Analytical Precision: Proven track record of solving multi-faceted problems in high-performance computing, code generation, or complex technology sectors.
 * Agile Mindset: Ability to balance rigorous engineering standards with fast-paced, autonomous execution under pressure.

## Description

Innovation in quantitative finance, computational biology, and high-performance computing requires more than data-it demands world-class infrastructure, sophisticated modeling, and flawless execution. StaffRight Associates is recruiting to source elite talent for a premier global quantitative investment and technology firm. We are seeking an exceptional Software Developer, Agentic AI to join a highly collaborative, intellectually rigorous team where computational excellence is the standard. This is a high-impact position designed for a driven problem-solver who thrives at the intersection of complex architecture, advanced algorithms, and real-world execution., * Architect & Build: Design, optimize, and maintain critical tools, smart agents, retrieval systems (RAG), and generative AI infrastructure driving advanced research pipelines.

 * Data & Research Execution: Translate complex datasets and abstract technical challenges into clear, scalable, high-performance frameworks, enhancing model training through intelligent workflows and feedback loops.
 * Systemic Optimization: Identify technical friction points, eliminate bottlenecks, and enhance operational velocity across full development cycles from prototyping to production-scale deployment.
 * Cross-Functional Collaboration: Serve as a key technical interface, working directly with quantitative researchers, software engineers, and multidisciplinary teams to integrate cutting-edge AI technologies.


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