AI Engineer – Marketing & GTM Systems
Automate manual go-to-market workflows using AI systems and LLM APIs. You will build outbound engines, content pipelines, and data layers to accelerate pipeline movement.
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88,000+ live jobsRemote, Global (Remote) +1·Full-time·Added 7 months ago
This job was published 7 months ago
Full-time hours
Per the ad.
Fully remote
Per the ad.
Have the right to work in Spain
Rwazi doesn't mention sponsorship, but this role may fit the Digital nomad visa.
Work in English
English is required, per the ad.
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.
Research Engineer
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.
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.
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.
Implement 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
This is not product feature engineering
This is not maintenance development
This is not short-term optimization
This role builds experimental systems.
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
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
Rwazi is a market research and data analytics company that helps global brands understand emerging markets. The company operates a platform that connects businesses with on-the-ground researchers and consumers in over 90 countries, providing real-time data and insights for strategic decision-making. Rwazi is a relatively young, fast-growing company in the market research and data analytics space, with a global footprint that includes a presence in Spain.
Rwazi has established a presence in Spain, with a team based in Madrid that supports its European operations. The company's work culture is remote-first and data-driven, attracting international talent across engineering, product, and research roles. For international professionals, Rwazi offers the opportunity to work in a global, English-speaking environment on cutting-edge data and AI-driven projects, with the chance to be based in Spain while serving clients worldwide.
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