Senior Engineer, AI & Digital Health (Medtech)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Engineer, AI & Digital Health (AI/Medtech): Designing and building AI-enabled systems that integrate health data platforms to improve data capture and processing with an accent on end-to-end AI application development from interfaces to backend APIs. Focus on automating reporting burdens, improving supply chain visibility, and deploying AI/LLM features in low-resource, multi-country environments.
Location: Based in Nairobi, Kenya (Open to Kenyan nationals only). Starts fully remote with a potential shift to hybrid/co-working.
Salary: KES 6,458,797 - 7,750,556 per annum
Company
is a non-profit organization that partners with governments to strengthen community health systems in the world's most remote communities.
What you will do
- Develop user interfaces for health workers using React and frontend frameworks optimized for low-bandwidth contexts.
- Build secure backend APIs and services for data ingestion, integrating data from DHIS2, Kobo, ODK, and IoT devices.
- Implement applied AI solutions, including LLM-powered features and chatbots for querying program data.
- Manage and optimize cloud infrastructure (AWS/GCP/Azure) and support DevOps workflows including CI/CD and microservices.
- Collaborate with programmatic teams to solve real-world health challenges through automation and intelligent data processing.
Requirements
- Must be a Kenyan national based in Nairobi.
- Bachelor’s in Software Engineering, Computer Science, or equivalent experience.
- Proficiency in Python and a modern frontend framework (React, Vue, or Angular).
- Strong SQL skills and experience with relational databases and cloud environments (AWS or GCP).
- Demonstrated experience integrating or deploying AI/ML models into production.
- Experience with ETL, orchestration tools, and AI/LLM APIs (e.g., OpenAI, Anthropic).
Nice to have
- Experience working in resource-constrained or low-bandwidth environments.
- Hands-on experience with BI tools like PowerBI, Looker, or Tableau.
- Certifications in AWS, GCP, or Azure.
- Knowledge of healthcare interoperability standards (FHIR, HL7).
Culture & Benefits
- Comprehensive medical and life insurance.
- Paid time off and retirement benefits.
- Equitable and transparent compensation methodology.
- Flexible work arrangement starting as fully remote.
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