Description

About eFiche

eFiche is a Rwanda-based digital health company building AI-enabled clinical tools for nurses and midwives across Rwanda's primary health care system. Our AI outputs — clinical decision support recommendations, risk flags, prescribing guidance, danger sign alerts — must be not only technically functional but clinically accurate, contextually appropriate, and aligned with Rwanda's national clinical guidelines. Validating this, across an expanding portfolio of clinical workflow domains, requires someone who bridges the technical and clinical worlds with equal confidence.;We are looking for a UAT & Clinical Quality Tester to own user acceptance testing at facility level and the clinical quality validation of AI outputs across all our workflow modules.

Purpose of the Role

The AI Services Backend Engineer builds and maintains

the server-side logic of the AI platform — the services that process clinical data, orchestrate AI model calls, format outputs, and communicate reliably with national health system integration points.

Key Responsibilities

Key Responsibilities are:

• Design, develop, and maintain the backend services and APIs that power eFiche's AI features across transcription, clinical decision support, risk flagging, and clinical summaries
• Build and manage data pipelines that receive structured clinical inputs, process them through AI models, and return outputs in the correct format
• Coordinate with integration partners on API specifications, payload structures, and endpoint behaviour
• Ensure data integrity, security, and performance across all AI backend services
• Implement error handling, logging, and monitoring to ensure AI service reliability at scale
• Write and maintain backend test suites
• support QA testers in reproducing and resolving issues
• Contribute to technical documentation and knowledge transfer materials for the Ministry of Health

Required Profile

Main qualifications are:

• 5+ years of backend engineering experience
• Strong proficiency in at least one backend language (Node.js, Python, Java, or equivalent)
• Solid experience with REST API design and consumption
• Experience with relational databases (PostgreSQL or equivalent) and data modelling
• Familiarity with AI/ML service integration (calling model APIs, handling model outputs) is a strong advantage
• Understanding of health data privacy principles (de-identification, role-based access) is an advantage
• HL7 FHIR familiarity is an advantage but not required

How to apply

Send your CV and a brief cover letter to

careers@efiche.africa with the subject line: UAT & Clinical Quality Tester Application. Applications reviewed on a rolling basis.;eFiche Ltd is an equal opportunity employer. We are committed to building a diverse team that reflects the communities we serve.;Deadline: Monday, 13/04/2026 23:59