9 Job Positions at EFICHE Ltd: (Deadline
13 April 2026)
UAT & Clinical Quality Tester at
EFICHE Ltd: (Deadline 13 April 2026)
Reporting to: Implementation & Deployment Manager, with functional link
to Technical Lead (AI/EMR) Location: Kigali, Rwanda (with
regular travel to health facilities) Type: Full-time
Employer branding service
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 UAT & Clinical Quality Tester
conducts structured user acceptance testing at health facilities and validates
AI output quality across multiple clinical workflow modules, ensuring each
module is both usable and clinically appropriate before and during scale-up.
Key Responsibilities
- Design and execute structured UAT test plans at pilot and
scale-up facilities for each workflow module, engaging nurses, midwives,
and other frontline users as primary testers
- Document user feedback, usability issues, and workflow friction
points per module; synthesise findings for the product and training teams
- Work with the Clinical Trainer and Clinical Pharmacy Advisor to
develop and maintain a clinical validation rubric for each workflow module
- Validate AI output quality against those rubrics, tracking
concordance with Rwanda national clinical guidelines per workflow
- Flag anomalies, recurring errors, or clinically unsafe outputs
to the Technical Lead promptly, with clear documentation
- Maintain a module-by-module validation status tracker across
all active clinical workflow domains
- Support the MoH AI Laboratory certification process by
providing structured testing evidence per workflow module
- Collaborate with Field Support & Adoption Officers during
facility visits
- Contribute to test documentation and evidence packages for
milestone reviews and funder reporting
Required Profile
- Background in health informatics, nursing, clinical officer
training, or a related health field — OR a tech-savvy professional with
substantial experience across multiple clinical service areas
- 3+ years of experience in health system work, digital health,
or software testing in a health context
- Ability to work across diverse clinical contexts — from mental
health to maternal care to pharmacy
- Ability to interpret clinical guidelines and apply them in a
structured evaluation context
- Strong documentation, analytical, and organisational skills —
managing validation status across multiple modules requires rigour
- Experience with Rwanda’s primary health care system or national
health information systems is a strong advantage
- Kinyarwanda fluency required; English proficiency required
- Willingness to travel to health facilities regularly
How to Apply
Development Tools
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.
System & Functional QA Tester at
EFICHE Ltd: (Deadline 13 April 2026)
System & Functional QA Tester
Reporting to: Technical Lead (AI/EMR) Location: Kigali,
Rwanda Type: Full-time
Health
About eFiche
eFiche is a Rwanda-based digital health
company building AI-enabled clinical features across a growing portfolio of
health workflow modules used by nurses and midwives at Rwanda’s primary health
care facilities. Each module — covering domains from antenatal care to child
health, non-communicable diseases, mental health, nutrition, and more — has its
own clinical logic, user interactions, and quality requirements. As our release
cycles accelerate and our portfolio expands, we need dedicated testing capacity
embedded within the development cycle to ensure every release meets the quality
bar that frontline clinical use demands.
We are looking for a System &
Functional QA Tester to own structured testing across our full and growing
portfolio of clinical workflow modules.
Purpose of the Role
The System & Functional QA Tester is
embedded in the development cycle, responsible for structured functional
testing of new features and regression testing after each release across all
active clinical workflow modules.
Key Responsibilities
- Execute structured functional test cases for AI-enabled
features across all active clinical workflow modules
- Maintain a clear view of test coverage status across the full
workflow portfolio — knowing which modules are in active development,
which are in staging, and which are live
- Conduct regression testing after each development sprint or
release cycle, ensuring updates to one module do not break others
- Log, track, and verify resolution of bugs using the project’s
issue tracking system (Jira), maintaining clean and up-to-date records
across multiple workstreams
- Develop and maintain test scripts and test case documentation
per workflow module
- Collaborate with developers to reproduce issues and validate
fixes
- Coordinate with the AI Services Backend Engineer to verify that
AI output formatting and API behaviour are consistent across workflow
modules
- Escalate critical issues to the Technical Lead and contribute
to release readiness decisions
Required Profile
- 3+ years of experience in software quality assurance or system
testing
- Familiarity with web and mobile application testing
methodologies
- Experience with bug tracking and project management tools (Jira
or equivalent)
- Ability to manage testing workload across multiple parallel
workstreams without losing track of priorities
- Basic understanding of APIs and ability to use tools such as
Postman for simple API testing is an advantage
- Health tech or EMR testing experience is an advantage
- Detail-oriented, systematic, and comfortable working in agile
sprint cycles with multiple active modules
How to Apply
Machine Learning & Artificial
Intelligence
Send your CV and a brief cover letter
to careers@efiche.africa with the subject line: System
& Functional QA Tester Application. Applications reviewed on a rolling
basis.
3 Job Positions of Field Support &
Adoption Officers at EFICHE Ltd: (Deadline 13 April 2026)
Field Support & Adoption Officers
(3)
Reporting to: Implementation & Deployment Manager Location: Regionally
assigned — Kigali | Northern/Eastern | Southern/Western Type: Full-time
About eFiche
eFiche is a Rwanda-based digital health
company bringing AI-enabled clinical tools to nurses and midwives at primary
health care facilities across Rwanda. Our tools support real-time clinical
decision making, ambient documentation, and risk flagging — directly within the
clinical workflows used at health centres every day. Getting frontline health
workers to adopt and trust these tools is one of our most important objectives,
and Field Support & Adoption Officers are central to making that happen.
We are recruiting three Field Support &
Adoption Officers to be our on-the-ground presence at health facilities,
ensuring that nurses and midwives are actively using AI-enabled workflows,
resolving issues in real time, and feeding user insights back to the product
and training teams.
Purpose of the Role
Field Support & Adoption Officers
provide on-the-ground technical support, user coaching, and adoption monitoring
across an assigned portfolio of health facilities — serving as the direct link
between frontline users and the eFiche team.
Medical Facilities & Services
Key Responsibilities
- Conduct regular facility visits to support active use of
AI-enabled clinical features
- Provide first-line troubleshooting and issue resolution for
hardware, connectivity, and software problems at facility level
- Reinforce training through on-site coaching and micro-learning
support following initial cascade training
- Log issues, user feedback, and adoption observations into the
project’s ticketing and feedback systems
- Monitor weekly active use metrics per facility and escalate
concerns to the Implementation & Deployment Manager
- Build trusted relationships with facility in-charges, nurses,
and district health officers
- Participate in weekly team stand-ups and contribute
facility-level insights to product and training decisions
Required Profile
- 2+ years of experience in health system support, community
health, digital health field work, or IT support in health settings
- Familiarity with Rwanda’s primary health care system and
facility-level workflows
- Comfort with digital tools and ability to troubleshoot basic
software and connectivity issues
- Strong interpersonal and communication skills; ability to build
trust with frontline health workers
- Experience with Rwanda’s national health information systems is
a strong advantage
- Kinyarwanda fluency required; English proficiency required;
French is an advantage
- Willingness to travel regularly within assigned region
How to Apply
Knowledge Management
Send your CV and a brief cover letter
to careers@efiche.africa with the subject line: Field
Support & Adoption Officer Application — [Your Region]. Applications
reviewed on a rolling basis.
Implementation & Deployment Manager
at EFICHE Ltd: (Deadline 13 April 2026)
eFiche Ltd — Job Adverts
Kigali, Rwanda
- MLOps / Infrastructure Engineer
Reporting to: Technical Lead (AI/EMR) Location: Kigali,
Rwanda Type: Full-time
About eFiche
eFiche is a Rwanda-based digital health
company building AI-powered clinical tools that support nurses and midwives at
the frontline of primary health care. Our work spans ambient clinical
documentation, AI-driven decision support, and risk flagging — all designed to
reduce cognitive load on health workers and improve the quality of care
delivered to patients across Rwanda’s health system. We operate at the
intersection of AI engineering, clinical practice, and health system
strengthening, and we are scaling fast.
Development Tools
As our AI platform grows to serve an
expanding network of health facilities nationwide, we are looking for an
experienced MLOps / Infrastructure Engineer to own the reliability, security,
and scalability of the infrastructure that underpins everything we build.
Purpose of the Role
The MLOps / Infrastructure Engineer owns
the infrastructure of eFiche’s AI services layer — from development and staging
environments through to production — ensuring the AI platform is reliable,
secure, and performant as we expand to national coverage.
Key Responsibilities
- Design, build, and maintain automated build, testing, and
deployment pipelines for eFiche’s AI services
- Manage cloud and on-premise infrastructure, including server
provisioning, containerisation, and environment management
- Own AI model serving infrastructure — deployment, versioning,
latency monitoring, and rollback protocols
- Ensure infrastructure compliance with Rwanda’s NCSA
cybersecurity standards and the project’s data governance framework
- Monitor system uptime, performance, and incident response;
maintain ≥95% uptime SLA
- Support security audits and penetration test remediations
- Ensure the AI services layer remains available and performant
when communicating with national health system API endpoints
Required Profile
- 5+ years of experience in DevOps, infrastructure engineering,
or MLOps
- Proficiency in containerisation (Docker, Kubernetes or
equivalent) and cloud infrastructure (AWS, GCP, or Azure)
- Experience deploying and serving ML models in production
environments
- Familiarity with automated build and deployment tooling (GitHub
Actions, GitLab CI, or equivalent)
- Understanding of data security, encryption, and access control
principles
- Experience in low-resource or offline-first deployment contexts
is a strong advantage
- Health tech experience is an advantage but not required
How to Apply
Health
Send your CV and a brief cover letter
to careers@efiche.africa with the subject line: MLOps
/ Infrastructure Engineer Application. Applications reviewed on a rolling
basis.
Full-Stack Developer at EFICHE Ltd:
(Deadline 13 April 2026)
Full-Stack Developer
Reporting to: Technical Lead (AI/EMR), working closely with the AI Services
Backend Engineer Location: Kigali, Rwanda Type: Full-time
About eFiche
Employer branding service
eFiche is a Rwanda-based digital health
company building AI-powered features across an expanding portfolio of clinical
workflows used by nurses and midwives at Rwanda’s primary health care
facilities. For each clinical domain we work in — from antenatal care to child
health to non-communicable diseases — we design and build tailored AI feature
sets: decision support interfaces, transcription handling, risk alerts, and
clinical summaries. We move fast, iterate closely with frontline users, and
care deeply about the quality of what we ship.
We are looking for a Full-Stack Developer
to accelerate our ability to build and maintain AI features across this growing
portfolio.
Purpose of the Role
Machine Learning & Artificial
Intelligence
The Full-Stack Developer contributes across
both the frontend and backend of the AI services platform, helping eFiche
build, iterate, and maintain AI features across multiple clinical workflow
domains simultaneously.
Key Responsibilities
- Develop and maintain frontend components of AI-enabled features
across multiple clinical workflow modules — including decision support
interfaces, transcription triggers, risk alerts, and clinical summaries
- Contribute to backend AI services as needed — API endpoints,
data processing logic, output formatting — in collaboration with the AI
Services Backend Engineer
- Support rapid iteration of AI features based on user feedback,
QA findings, and clinical validation results from the field
- Participate in design sprints and prototyping sessions with the
UX/HCD Specialist and frontline users as new workflows are onboarded
- Maintain code quality through peer review, documentation, and
testing standards
- Support release cycles and deployment processes in coordination
with the MLOps / Infrastructure Engineer
Required Profile
- 4+ years of full-stack development experience
- Proficiency in a modern frontend framework (React, Vue, or
equivalent) and a backend language (Node.js, Python, or equivalent)
- Experience consuming and building REST APIs
- Comfort working in agile, sprint-based environments with
multiple workstreams running in parallel
- Ability to context-switch across different clinical workflow
domains as new modules are onboarded
- UI/UX sensibility and willingness to iterate directly with end
users
- Health tech or EMR experience is an advantage but not required
How to Apply
Development Tools
Send your CV and a brief cover letter
to careers@efiche.africa with the subject line: Full-Stack
Developer Application. Applications reviewed on a rolling basis.
AI Services Backend Engineer at EFICHE
Ltd: (Deadline 13 April 2026)
AI Services Backend Engineer
Reporting to: Technical Lead (AI/EMR) Location: Kigali,
Rwanda Type: Full-time
About eFiche
Health
eFiche is a Rwanda-based digital health
company building the AI services layer that powers clinical decision support,
ambient transcription, risk flagging, and clinical summaries for nurses and
midwives working across Rwanda’s primary health care system. We receive
structured clinical data from health facility workflows, process it through AI
models, and return actionable outputs that support better, safer care decisions
at the point of consultation.
As our feature set grows and usage scales
across more facilities and clinical domains, we are looking for a skilled AI
Services Backend Engineer to build and harden the server-side foundation of our
AI platform.
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
- 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
- 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
Machine Learning & Artificial
Intelligence
Send your CV and a brief cover letter
to careers@efiche.africa with the subject line: AI
Services Backend Engineer Application. Applications reviewed on a rolling
basis.
MLOps / Infrastructure Engineer at
EFICHE Ltd: (Deadline 13 April 2026)
eFiche Ltd — Job Adverts
Kigali, Rwanda
- MLOps / Infrastructure Engineer
Reporting to: Technical Lead (AI/EMR) Location: Kigali,
Rwanda Type: Full-time
About eFiche
eFiche is a Rwanda-based digital health
company building AI-powered clinical tools that support nurses and midwives at
the frontline of primary health care. Our work spans ambient clinical
documentation, AI-driven decision support, and risk flagging — all designed to
reduce cognitive load on health workers and improve the quality of care
delivered to patients across Rwanda’s health system. We operate at the
intersection of AI engineering, clinical practice, and health system
strengthening, and we are scaling fast.
Health
As our AI platform grows to serve an
expanding network of health facilities nationwide, we are looking for an
experienced MLOps / Infrastructure Engineer to own the reliability, security,
and scalability of the infrastructure that underpins everything we build.
Purpose of the Role
The MLOps / Infrastructure Engineer owns
the infrastructure of eFiche’s AI services layer — from development and staging
environments through to production — ensuring the AI platform is reliable,
secure, and performant as we expand to national coverage.
Key Responsibilities
- Design, build, and maintain automated build, testing, and
deployment pipelines for eFiche’s AI services
- Manage cloud and on-premise infrastructure, including server
provisioning, containerisation, and environment management
- Own AI model serving infrastructure — deployment, versioning,
latency monitoring, and rollback protocols
- Ensure infrastructure compliance with Rwanda’s NCSA
cybersecurity standards and the project’s data governance framework
- Monitor system uptime, performance, and incident response;
maintain ≥95% uptime SLA
- Support security audits and penetration test remediations
- Ensure the AI services layer remains available and performant
when communicating with national health system API endpoints
Required Profile
- 5+ years of experience in DevOps, infrastructure engineering,
or MLOps
- Proficiency in containerisation (Docker, Kubernetes or
equivalent) and cloud infrastructure (AWS, GCP, or Azure)
- Experience deploying and serving ML models in production
environments
- Familiarity with automated build and deployment tooling (GitHub
Actions, GitLab CI, or equivalent)
- Understanding of data security, encryption, and access control
principles
- Experience in low-resource or offline-first deployment contexts
is a strong advantage
- Health tech experience is an advantage but not required
How to Apply
Development Tools
Send your CV and a brief cover letter
to careers@efiche.africa with
the subject line: MLOps / Infrastructure Engineer Application.
Applications reviewed on a rolling basis.
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