Team: Research & Development
Location: Flexible / Remote
Reporting to: Head of R&D
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 MandateThe 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 ResponsibilitiesPrototype DevelopmentImplement experimental decision pipelines
Build modular, testable research architectures
Translate conceptual models into runnable systems
Create evaluation frameworks for reasoning outputs
Build simulation environments for controlled testing
Develop benchmarking systems for decision performance
Implement A/B logic and structured experiment tracking
Optimize iteration cycles for research testing
Ensure reproducibility of experimental results
Collaborate with Decision Research Scientists to encode models
Provide technical validation of research concepts
Identify engineering constraints early
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 NotThis is not product feature engineering
This is not maintenance development
This is not short-term optimization
This role builds experimental systems.
Qualifications and ProfileWe 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 EvaluatedCandidates 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
The Research Engineer enables Rwazi’s applied decision research by building the technical infrastructure required to explore, validate, and evolve next-generation decision systems.
If you'd like, we can next define:
Decision Systems Fellow (elite individual contributor track)
AI Evaluation & Alignment Lead
Advanced Simulation Architect
Future Platforms Lab
