
Job Overview
Location
Indiana, USA
Job Type
Full-time
Category
Data Science
Date Posted
February 28, 2026
Full Job Description
đź“‹ Description
- • At Rwazi Inc., our mission is to push the boundaries of applied decision research, and at the heart of this endeavor lies the critical role of the Research Engineer. This position is integral to our Research & Development team, operating with flexibility and remotely across the globe, reporting directly to the Head of R&D. The Research Engineer is the linchpin that transforms cutting-edge theoretical concepts into tangible, testable systems, enabling rapid experimentation, robust prototyping, and rigorous system validation. You will be instrumental in bridging the gap between abstract ideas and real-world application, ensuring our decision concepts can be thoroughly tested under authentic operational constraints.
- • The core mandate of the Research Engineer is to operationalize research velocity. This involves a multifaceted approach to building and maintaining the technical scaffolding that supports our ambitious research initiatives. You will be accountable for constructing sophisticated research prototypes and isolated sandbox environments where new ideas can be explored without impacting production systems. A significant part of your role will involve developing sophisticated evaluation tooling specifically designed for decision systems, allowing us to objectively measure performance and identify areas for improvement. Furthermore, you will be responsible for implementing robust experimental system architectures that facilitate seamless data flow and processing, enabling fast and efficient iteration between theoretical models and practical validation. Maintaining the technical research infrastructure is also a key responsibility, ensuring that our research teams have reliable and scalable tools at their disposal.
- • In terms of key responsibilities, the role is deeply focused on **Prototype Development**. This includes the implementation of experimental decision pipelines, translating complex conceptual models into functional, runnable systems. You will build modular and testable research architectures, adhering to best software engineering practices even within a research context. This ensures that prototypes are not only functional but also maintainable and adaptable for future iterations.
- • Another critical area is **Research Tooling & Infrastructure**. Here, you will create comprehensive evaluation frameworks to assess the outputs of our reasoning systems, providing quantitative and qualitative insights. Building simulation environments for controlled testing will allow us to isolate variables and understand system behavior under specific conditions. You will also develop benchmarking systems to objectively measure the performance of decision-making algorithms and architectures, providing a clear baseline for progress.
- • **Experiment Enablement** is paramount. This involves implementing sophisticated A/B testing logic and structured experiment tracking mechanisms to ensure that every test is well-defined and its results are meticulously recorded. You will be tasked with optimizing iteration cycles for research testing, making the process as swift and efficient as possible. A key outcome of your work will be ensuring the reproducibility of experimental results, a cornerstone of sound scientific practice.
- • Finally, you will provide **System Integration Support**. This requires close collaboration with our Decision Research Scientists to effectively encode their models into functional systems. You will provide crucial technical validation of research concepts, identifying potential engineering constraints and challenges early in the process. Your insights will help steer research efforts towards technically feasible and impactful solutions.
- • The impact of a strong Research Engineer at Rwazi is profound. You will directly contribute to faster research iteration cycles, allowing us to explore more ideas in less time. Your work will lead to more reliable prototype validation, giving us greater confidence in the potential of our research. You will significantly reduce the gap between initial research concepts and their eventual production-ready implementations. Ultimately, you will enhance the overall experimental rigor of our R&D efforts, accelerating Rwazi’s long-term capability development in the field of decision systems.
- • It is important to clarify what this role is NOT. This is not a role focused on product feature engineering, nor is it primarily about maintenance development or short-term optimization of existing products. Instead, this role is dedicated to building and refining the experimental systems that underpin our future innovations.
- • We are seeking individuals who possess strong software engineering fundamentals and demonstrable experience in building experimental or prototype systems. You should be comfortable working in ambiguous research environments, capable of balancing the need for speed with the imperative of technical rigor. Familiarity with AI pipelines or decision architectures is highly desirable. Our candidates may originate from diverse backgrounds, including academic research labs, innovative AI startups, advanced analytics teams within larger organizations, or roles focused on system architecture.
- • Candidates will be evaluated based on their ability to rapidly implement experimental systems, the technical clarity and modularity of their code, their comfort level working with incomplete specifications, their understanding of evaluation logic and system validation, and their capacity to collaborate effectively with research-oriented thinkers. This role is a unique opportunity to be at the forefront of applied decision research, shaping the future of intelligent systems.
Skills & Technologies
About Rwazi Inc.
Rwazi is a data collection and insights company that empowers businesses with localized, real-world data. They specialize in gathering information through a network of field agents, enabling clients to understand diverse markets and consumer behaviors. Their services are crucial for market research, product development, and strategic decision-making, particularly in emerging economies. By leveraging technology and a distributed workforce, Rwazi provides granular data that drives informed business strategies and fosters growth in complex environments. They operate at the intersection of data science, technology, and on-the-ground intelligence.
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