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Laterite

Data-driven development research and policy advisory

Developer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeAmsterdam, Netherlands€33.8k - €40k /yr

About the Job

Requirements

  • Have up to 2 years of experience in a related role, or be a recent graduate; hands-on experience is prioritized.
  • Hold a Master's or Bachelor's degree in a technical or quantitative field, such as Computer Science, Artificial Intelligence, Data Science, Software Engineering, Econometrics, Statistics, Digital Humanities, or a quantitative social science.
  • Have personally built and shipped software that can be demonstrated through a GitHub portfolio, internship, research tool, or substantial personal project; this is particularly important for candidates with a Bachelor's degree or limited work experience.
  • Have experience working in, or a passion for, international development, social impact, and research.
  • Have strong programming abilities in Python.
  • Have experience developing applications with large language models.
  • Be familiar with AI frameworks and tools, particularly agentic AI, retrieval-augmented generation, and knowledge graphs.
  • Be familiar with version control and collaborative development tools such as GitHub.
  • Have awareness of DevOps and deployment concepts, including continuous integration and continuous delivery, environment configuration, and secrets management, and be motivated to develop these skills.
  • Have exposure to cloud services, Unix-based server environments, and containerization with Docker.
  • Have excellent written and oral communication skills in English.
  • Have excellent organizational and interpersonal skills, self-motivation, and the drive to work in a fast-paced environment with unpredictable timelines.

Responsibilities

  • Develop and implement AI-driven applications and software solutions for social impact across agriculture, education, public health, youth and labor, and urbanization and migration.
  • Develop knowledge hub web platforms for researchers, policymakers, and program implementers, including automated data curation pipelines, knowledge graphs, retrieval-augmented generation pipelines, and large language model agents.
  • Curate unstructured data and establish nodes and relationships within knowledge graphs, combining them with retrieval-augmented generation to generate actionable insights accessible in natural language.
  • Develop AI applications to automate research tasks, including transcription, translation, quantitative and qualitative data analysis, and survey development and testing.
  • Support development of an external website for researchers to access and pay for Laterite's AI-powered research applications.
  • Develop WhatsApp-integrated tools for rapid field surveys and automated analysis and insight generation using a large language model pipeline.
  • Test large language model pipelines or fine-tuned models for generating synthetic quantitative or qualitative data and evaluate generated data quality against real data.
  • Implement and refine data-scraping techniques to build and calibrate models within Google Earth Engine using environmental, socioeconomic, satellite, and geospatial data.
  • Collaborate with the small development team and senior research and management teams across the organization.

Desired Qualifications

  • Experience working with Stata or R.
  • Exposure to machine learning and statistics.
  • Eagerness to learn and grow in a collaborative, multidisciplinary team.

About the Company

Laterite

Data-driven development research and policy advisory

Laterite provides data, research, and technical advisory services for development challenges. It conducts end-to-end research, including data collection, design and analysis of large socio-economic studies, and policy or project design advice, using a mix of quantitative and qualitative methods enhanced with machine learning and geospatial analytics. Its strength comes from a strong local presence across Ethiopia, Kenya, Rwanda, Sierra Leone, Tanzania, Uganda, and Peru, with a support team in the Netherlands, blending local context with technical expertise. Its goal is to produce practical, evidence-based policy insights and evaluation findings that help clients design, implement, and improve development programs.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Kigali City, Rwanda
Founded
2010

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