Senior Software Developer | Agentic AI

Preface

The architectural integrity of global investment and technology research relies on the seamless convergence of Agentic AI Engineering and rigorous computational execution. Within this domain, where the synthesis of complex data and high-performance systems is the primary objective, the necessity for first-principles mastery extends beyond the laboratory and into the operational nucleus of the organization.

StaffRight Associates is seeking an elite professional to join the AI Research & Development team at a world-class firm dedicated to the advancement of computational excellence. This role demands a candidate who possesses the intellectual pedigree required to navigate the complex challenges of a research-intensive environment. By bridging specialized technical awareness with proactive problem-solving, the successful candidate will ensure the structural alignment of the firm’s strategic mission with its technical execution.

The Mission

StaffRight Associates is recruiting for a Senior Software Developer | Agentic AI. As a Senior Developer, you will serve as a vital catalyst within a premier organization. The mission is to decouple systemic friction from analytical progress, allowing the firm’s leadership to maintain a singular focus on the acceleration of AI-Driven Drug Discovery.

You will be tasked with the sophisticated management of Multi-Agent Architectures and RAG Systems, transforming abstract organizational needs into formalized, actionable results. This role requires a high degree of technical literacy to effectively support a team leveraging proprietary architectures and sophisticated algorithms to revolutionize Therapeutic Development and ML Research.

Core Technical Objectives

• Orchestrate Systemic Workflows: Formalize and execute complex protocols for agentic AI systems, integrating LLM-driven architectures with scientific software to ensure continuous operational flow.
• Synthesize Complex Data: Conduct ad hoc technical research into generative AI and intelligent data pipelines, distilling multifaceted information into coherent frameworks that support automated discovery.
• Optimize Operational Frameworks: Validate and process intricate documentation for production-scale deployments, ensuring the systemic accuracy of code generation and feedback-driven training.
• Engineer Multi-Project Solutions: Independently manage the development of advanced software tools from conception to scale, applying a proactive Goal-Execution-Mapping (GEM) approach to bridge the gap between AI research and production.
• Facilitate Elite Communication: Serve as a discreet and articulate interface between domain scientists and the technical committee, translating complex scientific workflows into scalable engineering requirements.

Candidate DNA

• Architectural Philosophy: A mindset rooted in efficiency and resilience, with the ability to build robust AI infrastructure in a hybrid, high-pressure environment without supervision.
• Resourceful Problem-Solving: A proven track record of autonomous execution, demonstrating the ability to automate complex scientific workflows and anticipate technical bottlenecks.
• Communication Precision: Exceptional interpersonal skills characterized by clarity, discretion, and the ability to interact with elite scientific and business minds.
• Functional Versatility: A generalist mindset capable of pivoting between Python-driven software engineering and the nuanced demands of chemical or biological research.

Academic & Research Pedigree

• Educational Foundation: An advanced degree is preferred, ideally within a STEM discipline (Computer Science, Computational Biology, etc.) that provides a foundation for understanding Agentic AI Systems.
• Domain Expertise: Prior professional engagement within high-performance computing, generative AI, or advanced biotechnology sectors is highly advantageous.
• Quantitative Literacy: Comfort with the mathematical and operational rigor inherent in a firm focused on supercomputing and high-speed data processing.