Research Engineer Full Time

Role Overview
Rwazi’s research initiatives require rapid experimentation, prototyping, and system validation.

The Research Engineer enables applied research through technical system construction.

This role builds prototypes, experimental pipelines, evaluation tooling, and research infrastructure that allow decision concepts to be tested under real-world constraints.

The Research Engineer operationalizes research velocity.

Core Mandate
The Research Engineer is accountable for:

• Building research prototypes and sandbox environments
• Developing evaluation tooling for decision systems
• Implementing experimental system architectures
• Enabling fast iteration between theory and validation
• Maintaining technical research infrastructure
• This role bridges conceptual research and system reality.

Key Responsibilities
Prototype Development

• Implement experimental decision pipelines
• Build modular, testable research architectures
• Translate conceptual models into runnable systems
• Research Tooling & Infrastructure
• Create evaluation frameworks for reasoning outputs
• Build simulation environments for controlled testing
• Develop benchmarking systems for decision performance

Experiment Enablement

• Implement A/B logic and structured experiment tracking
• Optimize iteration cycles for research testing
• Ensure reproducibility of experimental results
• System Integration Support
• Collaborate with Decision Research Scientists to encode models
• Provide technical validation of research concepts
• Identify engineering constraints early

Role Impact

Strong performance in this role results in:

• Faster research iteration cycles
• More reliable prototype validation
• Reduced gap between research and production
• Higher experimental rigor
• This role accelerates Rwazi’s long-term capability development.

What This Role Is Not

• This is not product feature engineering
• This is not maintenance development
• This is not short-term optimization
• This role builds experimental systems.

Qualifications and Profile
We are looking for individuals who demonstrate:

• Strong software engineering fundamentals
• Experience building experimental or prototype systems
• Comfort working in ambiguous research environments
• Ability to balance speed and technical rigor
• Familiarity with AI pipelines or decision architectures
• Candidates may come from research labs, AI startups, advanced analytics teams, or system architecture roles.

How Candidates Are Evaluated
Candidates are evaluated based on:

• Their ability to rapidly implement experimental systems
• Technical clarity and modularity of their code
• Comfort working with incomplete specifications
• Understanding of evaluation logic and system validation
• Ability to collaborate with research-oriented thinkers