This role is based in New York, NY, offering a hybrid work model (3 in-office & 2 remote) and an elite compensation package ranging from $250,000 to $600,000, supplemented by sign-on bonuses, relocation assistance for qualified candidates.
The Mission
StaffRight Associates is sourcing for a Software Engineer, Agentic AI Systems to drive a high-stakes initiative at the frontier of computational drug discovery. This role is not merely about application development; it is about the technical synthesis of large language models (LLMs), multi-agent architectures, and sophisticated retrieval-augmented generation (RAG) within a high-performance scientific ecosystem. You will be responsible for the systemic integration of autonomous AI agents into complex research loops, effectively bridging the gap between frontier machine learning and atomic-level molecular simulations to accelerate the development of life-saving therapeutics.
Core Technical Objectives
Orchestrate the architecture and deployment of multi-agent AI frameworks designed to automate and optimize high-throughput scientific research workflows.
Synthesize cutting-edge RAG systems and LLM-driven tools with proprietary scientific software to enhance the precision of molecular modeling and drug design.
Engineer end-to-end data pipelines that utilize intelligent feedback loops to refine and accelerate the training of domain-specific machine learning models.
Formalize the transition from rapid algorithmic prototyping to production-scale infrastructure, ensuring high-availability and system resilience within a distributed computing environment.
Deploy automated code-generation utilities and intelligent workflows to minimize manual research overhead and maximize the velocity of drug discovery programs.
Validate the integration of AI-powered systems through rigorous pressure-testing, ensuring alignment between computational outputs and biological research requirements.
Candidate DNA
Architectural Philosophy: A first-principles approach to software engineering, with a focus on building modular, scalable systems that solve non-trivial automation challenges.
Technical Depth: Mastery of Python and its broader ecosystem, with a proven ability to design complex infrastructure from the ground up.
Domain Expertise: Deep technical interest or professional experience in Agentic AI, including generative models, autonomous agents, and sophisticated retrieval mechanisms (RAG).
Structural Alignment: The ability to translate abstract scientific workflows into high-performance, production-grade code that interfaces with massive datasets and high-speed hardware.
Versatility: An intellectual curiosity that thrives in interdisciplinary environments, demonstrating a clean room ability to solve problems across diverse technical domains without relying on standard templates.
Academic & Research Pedigree
Mathematical Rigor: A strong foundation in discrete mathematics, probability, and algorithmic complexity from a world-class institution.
Educational Excellence: A Bachelor’s, Master’s, or Ph.D. in Computer Science, Applied Mathematics, Computational Biology, or a related STEM field.
Research Synthesis: Evidence of high technical achievement, potentially including specialized thesis work or professional contributions to complex scientific or machine learning infrastructure projects.
Partnering with StaffRight Associates
At StaffRight Associates, we operate at the intersection of technical synthesis and structural alignment. We don’t just match resumes to keywords; we map your engineering DNA, your architectural philosophy, your approach to system resilience, and your Goal-Execution-Mapping, to the most sophisticated STEM challenges in the industry. When you partner with us, you are engaging with a team that speaks your language and understands the nuances of high-stakes innovation. We are committed to placing elite talent where their technical contributions drive systemic impact.
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