Head of Research & Development – R&D

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Identify unresolved reasoning challenges within Rwazi’s domain

• Investigate advanced decision-making frameworks that extend beyond current product limitations

• Create conceptual models for higher-order AI reasoning systems

• Examine new signal environments and structured judgment techniques

• Construct experimental prototypes to evaluate new system architectures

• Systematize reasoning patterns into structured logic frameworks

• Develop reusable components that Product and Engineering teams can implement

• Document system logic using technically sound formats

• Move beyond existing signal-to-output pipelines

• Investigate multi-layer reasoning and tradeoff modeling

• Establish evaluation criteria for increasingly complex decision-making

• Anticipate future enterprise applications and model their structural needs

• Provide counsel to the CEO regarding long-term technical differentiation strategies

• Convert research findings into strategic investment choices

• Identify potential defensive advantages

• Set standards for experimental rigor

• Create evaluation frameworks for validating prototypes

⛳️ Requirements

• Profound systems thinking and formal reasoning skills

• Experience in designing structured decision frameworks

• Strong knowledge of AI systems, logical modeling, or computational reasoning

• Capability to convert abstract research into applicable system components

• Comfort in operating independently at a high strategic level

• Proven experience tackling complex and ambiguous challenges

• Candidates may have backgrounds in applied research, AI system design, computational modeling, advanced analytics, or technically demanding environments.

🏝️ Benefits

• This role focuses on capability-building rather than feature delivery.

• Provide strategic advice to the CEO on long-term technical differentiation.

• Advance future decision system architectures.

• Formalize higher-order reasoning capabilities.

• Explore new classes of signals and evaluation logic.

• Maintain clarity between exploratory initiatives and production systems.