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4 дня назад

Senior Engineer, AI & Digital Health (Medtech)

6 458 797 - 7 750 556KES
Формат работы
remote (только Kenya)/hybrid
Тип работы
project
Грейд
senior
Английский
b2
Страна
Kenya
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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