Senior Engineer, AI & Digital Health
Last Mile Health
- Nairobi
- Contract
- Full-time
- Develop user interfaces for Community Health Workers (CHWs), program managers, and other end users using React, HTML, and related frontend frameworks, with an eye toward usability in low-literacy and low-bandwidth contexts.
- Develop secure backend APIs and services for data ingestion, processing, and exchange
- Integrate data from DHIS2, Kobo, ODK, CommCare, and IoT/sensor devices
- Optimize data workflows for speed, cost, and reliability in AWS/GCP/Azure
- Develop mobile software apps on Android or iOS
- Prepare high-quality datasets, (feature engineering, labeling, metadata management) to enable reliable AI-driven workflows and automation
- Perform complex data retrieval, transformation, and validation using SQL and scripting languages
- Develop and manage BI dashboards (PowerBI, Looker Studio, Superset)
- Ensure data quality and validation across integrated health systems
- Build and manage applied AI and data solutions for quick insights
- Prototype and iterate on AI use cases; develop intelligent alerts, data summarization features
- Integrate AI/LLM APIs (e.g., OpenAI, Anthropic, or similar) into LMH applications.
- Build and maintain AI-powered chatbots for querying and summarizing LMH program data
- Work closely with programmatic teams within and outside LMH to ensure the right problems are being approached in the right way
- Work with and build capacity in LMH and MoH staff on developing various tools incorporating data security, APIs, and integration
- Support deployment of AI-enabled applications and services
- Support DevOps workflows including Git, CI/CD, microservices, and serverless infrastructure.
- Troubleshoot platform failures and data flow interruptions
- Manage and optimize cloud server infrastructure for performance, cost effectiveness and uptime
- Perform routine health checks on cloud services to ensure minimal failures/downtime
- Bachelor’s in Software Engineering, Computer Science, Informatics, or related field, or equivalent experience.
- Demonstrated and deep experience in software engineering or backend development.
- Proficiency in Python and one modern frontend framework (React, Vue, or Angular).
- Strong SQL proficiency and experience with relational databases .
- Version control proficiency (Git) and CI/CD familiarity.
- Demonstrated experience integrating or deploying AI/ML models into production applications.
- Experience with cloud environments (AWS or GCP), serverless architecture and deploying web applications.
- Experience with ETL, orchestration tools, APIs, event-driven systems.
- Experience integrating AI/LLM APIs (OpenAI, Anthropic, or similar).
- You have significant prior experience in resource-constrained or low-bandwidth environments.
- You have hands-on experience with BI tools (PowerBI, Looker, Tableau).
- You have certification in AWS/GCP/Azure.
- You have an understanding of healthcare interoperability (FHIR, HL7).