Applied AI Researcher

About the Role

QpiAI works at the intersection of AI and Quantum Computing, developing groundbreaking solutions to tackle some of the most complex challenges across various industries. Our team is dedicated to pushing the boundaries of innovation and delivering exceptional results to our enterprise clients, driving significant impact.

We are seeking an exceptional Applied AI Researcher to join our innovative research team. This role will focus on advancing our AI capabilities through rigorous experimentation, multi-agent systems design, domain-specific scaffolding, and evaluation methodology development. Through this role you will get the opportunity to develop Compound AI systems impacting areas like Drug Discovery, Decision Intelligence, Chip Design , Quantum Computing etc.

Key Responsibilities

• Design and implement novel multi-agent architectures that enable complex problem-solving and collaboration
• Develop domain-specific scaffolding techniques to guide AI systems in specialized environments
• Create and curate high-quality datasets for training and evaluating AI systems across various domains
• Establish comprehensive evaluation frameworks to measure system performance, robustness, and alignment
• Research and implement reinforcement learning approaches for agent behavior optimization
• Develop techniques for post-training optimization and domain adaptation
• Collaborate with cross-functional teams to translate research findings into practical applications
• Stay current with the latest advancements in AI research and contribute to the research community
• Document methodologies, findings, and best practices for internal knowledge sharing

Qualifications

Preferred Experience

What We Offer

Join us in shaping the future of intelligent systems and their applications across diverse scientific domains.