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Rwazi

Research Engineer

  • Seen live on Rwazi's site today
  • Mid level
  • Remote
Pay
Not stated
Location
Global (Remote)
Open for
12+ days
First seen
Oct 23, 2026

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Rwazi's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Rwazi, so its true age is longer.

Last checked Nov 4, 2026.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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

  • 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

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

  • Decision Systems Fellow (elite individual contributor track)
  • AI Evaluation & Alignment Lead
  • Advanced Simulation Architect
  • Future Platforms Lab

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