AI Developer at Laterite

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

40000.0

Posted On

08 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI Frameworks, LLMs, Data Analysis, Machine Learning, Cloud Services, DevOps, GitHub, Data Collection, Geospatial Data, Knowledge Graphs, RAG, Statistical Analysis, Transcription, Translation, Survey Development

Industry

Research Services

Description

This position is available to candidates of all nationalities who have the legal right to work in the Netherlands. Please note that we are unable to provide sponsorship. Why This Role Matters This AI Developer position is affiliated with Laterite’s Analytics team. You will work on the development and implementation of AI-driven applications and software solutions for social impact. Projects will include building and integrating knowledge graphs using Retrieval-Augmented Generation (RAG), implementing generative data augmentation using large language model (LLM) pipelines, constructing models using Google Earth Engine, or developing AI models for automated quantitative and qualitative data analysis to enhance decision-making processes in socio-economic development. A key part of Laterite's work involves working with survey and geospatial data. You will use this data to build AI models and integrate them into user-friendly applications to improve the precision and effectiveness of our research outputs. You will also work on client-focused, innovative AI-driven solutions in the field of international development. About Laterite Laterite is a data, research and analytics firm that helps clients understand and analyze complex international development challenges. We provide high-quality research services for social impact, focusing on five sectors: education, public health, agriculture, youth & livelihoods, and urbanization & migration. We offer tested data collection systems, an expert research and analytics tea,m and a thorough understanding of the local context. This unique combination enables us to carry out full-cycle research projects, from design to data collection and analysis. We work with universities, think tanks, international NGOs, multilateral donor organizations, foundations, and government ministries and agencies. Our network of offices currently includes the Netherlands, Rwanda, Ethiopia, Kenya, Uganda, Tanzania, Sierra Leone and Peru. The team brings together more than 90 full time local and international staff, as well as 1,500 enumerators across countries, in a dynamic work environment. We are proud to be a culturally diverse organization. You can find out more about Laterite on our website at: www.laterite.com. What You Will Work On A non-exhaustive list of potential projects you might work on includes: Intelligent knowledge hubs. Develop knowledge hub chatbots for social impact data. Enhance data retrieval processes by integrating automated data curation pipelines with knowledge graphs, RAG, and LLM agents. This initiative involves curating unstructured data, establishing nodes and relationships within knowledge graphs, and combining these elements with a RAG pipeline to generate comprehensive, actionable insights. Automating research processes and data analysis. Develop AI applications that automate time-consuming research tasks for Laterite’s research team (e.g., transcription, translation, quantitative and qualitative data analysis, survey development and testing), increasing efficiency and reducing manual data handling. AI-powered applications for rapid data collection in WhatsApp. Develop tools to collect rapid surveys from the field (e.g., with teachers, farmers, enumerators), integrated in WhatsApp, and including automated analysis and insight generation from responses using an LLM pipeline. Generative Data Augmentation and evaluation. Test whether we can create LLM pipelines or fine-tuned LLM models to generate synthetic quantitative or qualitative data. Evaluate the quality of this data against real data. Google Earth Engine Models: Implement and refine data scraping techniques to build and calibrate models within Google Earth Engine, focusing on environmental and socio-economic variables. This will help in making informed decisions based on the latest satellite and geospatial data. This is a challenging position that will provide you with hands-on experience in AI application development, various types of data handling (e.g., audio, images, geospatial, survey, etc.), coding, product development and deployment. You will work in a small AI development team, collaborating closely with senior research and management teams across the organization for guidance and mentorship. Your Responsibilities Specifically, we would like to draw on your expertise to: Develop and implement AI-driven applications across our key sectors: Agriculture, Education, Public Health, Youth & Labor, Urbanization & Migration. Integrate AI models and LLM pipelines into existing workflows and systems Scout for reliable data sources that can be leveraged to build robust classification and prediction models. Design and conduct validation tests to verify the accuracy and reliability of our AI applications before they are deployed in real-world scenarios. Improving code quality, performance, and reliability through testing, refactoring, and best practices Supporting the deployment, monitoring, and maintenance of AI applications in production environments. Who You Are Our ideal candidate is a recent graduate who is entrepreneurial, creative, passionate about international development and social impact, structured in their thinking and demonstrates strong analytical and software development skills. They will be able to effectively solve problems, adapt to changing situations, and translate complex research needs into technical solutions. The exact projects you work on and the way the role evolves will remain flexible, shaped over time based on team priorities, your interests, and your strengths. Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields Strong programming abilities in Python Experience developing applications with LLMs Familiarity with AI frameworks and tools, particularly in the areas of agentic AI, RAG (especially knowledge graphs). Familiarity with version control and collaborative development tools (GitHub) Awareness of basic DevOps and deployment concepts (e.g. CI/CD, environment configuration, secrets management), with curiosity and motivation to grow these skills Exposure to cloud services, and working with Unix based server environments, and containerization (docker) Excellent written and oral communication skills in English Excellent organizational and interpersonal skills, self-motivation, and the drive to thrive in a fast-paced environment where timelines can often be unpredictable Nice to Have: Experience working with Stata or R Exposure to machine learning and statistics Experience working in or passion for international development and social impact Eagerness to learn and grow in a collaborative, multidisciplinary team Our Hiring Process 1). Submit application The first step is to submit your application by uploading your CV and cover letter via our online application system 2). Analytical Assessment Successful candidates will be invited to complete an analytical assessment. This exercise aims to gauge your capacity to create functioning applications in Python using publicly available APIs. 3). Interviews Successful candidates will then be invited to a first interview. The interview stage will consist of three rounds of interviews. Additional Information This role is open to all nationalities with the right to work in the Netherlands Start date: as soon as possible, to be agreed with the successful candidate Applications are reviewed on a rolling basis. Details on rolling applications can be found on the website: https://www.laterite.com/vacancies/ What’s in it for you? We offer an initial one-year contract, with a view to extending this upon satisfactory performance. We offer a flexible working environment, including the choice to work from home a couple of days per week and the possibility of working from a remote location of your choice for up to 6 weeks per year. Laterite offers 23 days of annual leave. We are also committed to supporting the learning and development of our team members, providing an annual learning budget of up to $1,000 per person and 10 days of time off for professional learning each year. Our office is in the heart of Amsterdam, about a fifteen-minute walk from Amsterdam Centraal Station. The salary range for this role will be EUR 33,830 to 40,000, annual gross, commensurate with experience. Salaries are pegged against Laterite’s pay matrix, and grades are reviewed every 12 months.

Responsibilities

You will develop and implement AI-driven applications across key sectors such as Agriculture and Education. Additionally, you will integrate AI models into existing workflows and conduct validation tests to ensure accuracy before deployment.