Reference No. : LJ-001

Job Description:

Our client is a US non-profit funder-doer that builds projects to expand human agency at scale. They embed engineers and product managers directly inside evidence-based nonprofits across East Africa, South Asia, and beyond, helping them build data infrastructure, run experiments, and scale impact through automation and product thinking.

Our client is looking for an AI Data Engineer to design, build, and deploy AI/ML data systems that power our client's platforms and partner applications, from large language model integrations and recommendation engines to data pipelines and evaluation frameworks. The role will directly contribute to improving outcomes for people served by NGO partners.

Responsibilities:

• Design and build AI/ML evaluations and features for our client’s technology platforms and partners, including LLMs, NLP and recommendation systems.
• Develop robust data pipelines and evaluation frameworks for model training, inference and post-deployment efficacy.
• Work closely with behavioral scientists and researchers to translate insights into AI-powered features.
• Architect and maintain production ML systems with an emphasis on observability, performance, reliability and scalability.
• Conduct rapid prototyping and experimentation to validate AI approaches before full buildout.
• Document technical decisions and maintain engineering standards across AI components.
• Stay current with applied AI research and bring relevant advances to the team.

Requirements: Qualification and Skill

• 3–7 years of software engineering experience, with at least 2 years focused on AI/ML systems.
• Proficiency in Python and hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow and HuggingFace.
• Experience building and deploying LLM-powered applications or retrieval-augmented generation (RAG) systems.
• Strong understanding of ML fundamentals, including model training, evaluation, fine-tuning and inference optimisation.
• Comfortable working with cloud infrastructure such as AWS, GCP or Azure, with experience deploying models in production.
• Ability to communicate technical concepts clearly to non-engineering audiences.
• A strong commitment to building AI responsibly and with direct social benefit.
• Experience with multilingual NLP or working with low-resource languages.
• Familiarity with behavioral science or designing AI for behavior change.
• Prior work in global health, international development or social impact technology.
• Experience with data annotation pipelines and evaluation methodology for LLMs.
• Background in AI safety, alignment or responsible AI frameworks.

If you wish to apply for the position, please send your CV to ljoubert@caglobalint.com  

Please visit www.caglobalint.com for more exciting opportunities.

Lara Joubert

Senior Recruitment Specialist

CA Global | Finance

CA Global will respond to short-listed candidates only. If you have not had any response in two weeks, please consider your application unsuccessful however your CV will be kept on our database for any other suitable positions.

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