Research Engineer
Remote · location unlistedFull-timePosted 4mo agoStill listed 3 days ago
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Job overview
Rwazi is hiring a Research Engineer. The Research Engineer at Rwazi enables applied research by constructing technical systems for rapid experimentation, prototyping, and system validation. This role involves building prototypes, experimental pipelines, evaluation tooling, and research infrastructure to test decision concepts under real-world constraints, ultimately operationalizing research velocity and bridging conceptual research with system reality.
Key focus areas include Build research prototypes and sandbox environments, Develop evaluation tooling for decision systems, and Implement experimental system architectures.
Successful candidates bring Strong Software Engineering Fundamentals and Experience Building Experimental Systems. Important skills include Software Engineering Fundamentals, Building Experimental Systems, Building Prototype Systems, Working In Ambiguous Research Environments, Balance Speed And Technical Rigor, and Rapidly Implement Experimental Systems. Preferred (not required): AI Pipelines and Decision Architectures.
Skills & qualifications
Skills
Qualifications
Full job description
Research Engineer Team: Research & Development Location: Flexible / Remote Reporting to: Head of R&D
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:
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Building research prototypes and sandbox environments
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Developing evaluation tooling for decision systems
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Implementing experimental system architectures
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Enabling fast iteration between theory and validation
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Maintaining technical research infrastructure
This role bridges conceptual research and system reality.
Key Responsibilities Prototype Development
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Implement experimental decision pipelines
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Build modular, testable research architectures
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Translate conceptual models into runnable systems
Research Tooling & Infrastructure
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Create evaluation frameworks for reasoning outputs
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Build simulation environments for controlled testing
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Develop benchmarking systems for decision performance
Experiment Enablement
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Implement A/B logic and structured experiment tracking
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Optimize iteration cycles for research testing
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Ensure reproducibility of experimental results
System Integration Support
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Collaborate with Decision Research Scientists to encode models
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Provide technical validation of research concepts
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Identify engineering constraints early
Role Impact Strong performance in this role results in:
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Faster research iteration cycles
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More reliable prototype validation
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Reduced gap between research and production
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Higher experimental rigor
This role accelerates Rwazi’s long-term capability development.
What This Role Is Not
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This is not product feature engineering
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This is not maintenance development
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This is not short-term optimization
This role builds experimental systems.
Qualifications and Profile We are looking for individuals who demonstrate:
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Strong software engineering fundamentals
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Experience building experimental or prototype systems
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Comfort working in ambiguous research environments
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Ability to balance speed and technical rigor
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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:
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Their ability to rapidly implement experimental systems
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Technical clarity and modularity of their code
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Comfort working with incomplete specifications
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Understanding of evaluation logic and system validation
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Ability to collaborate with research-oriented thinkers
Summary 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:
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Decision Systems Fellow (elite individual contributor track)
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AI Evaluation & Alignment Lead
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Advanced Simulation Architect
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Future Platforms Lab
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