Senior AI Engineer – Addis Ababa, Ethiopia | Visa + Salary Insights

📍 Location: Others

🏷 Type: Full-time

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Job Overview

This Senior AI Engineer role at Last Mile Health focuses on building advanced AI systems for healthcare delivery in Ethiopia, specifically supporting the HEP Assist AI platform used by Health Extension Workers. The position requires expertise in LLM systems, multilingual AI, RAG/Graph RAG pipelines, and production-grade AI infrastructure. The ideal candidate is a highly experienced engineer capable of deploying scalable, offline-first, multimodal AI systems in low-resource environments. This role sits at the intersection of healthcare, AI engineering, and government digital transformation initiatives.

📅 Job Timeline & Status

This role is in an active hiring phase with rolling application review, meaning candidates are assessed as they apply. Given the niche combination of AI engineering + healthcare + multilingual systems, competition is expected to intensify quickly. Applicants should prioritize early submission to improve visibility in the hiring pipeline.

🌍 Work Eligibility & Location

This is a strictly Onsite role anchored in Ethiopia due to deep integration with national health systems and field deployment. International applicants without local work authorization are unlikely to be eligible.

💰 Salary Intelligence

The compensation is positioned within global nonprofit digital health benchmarks. While below major tech hub salaries, the package reflects strong impact-driven work with exposure to large-scale government AI systems and real-world healthcare deployment environments.

📊 Role Breakdown

This role centers on building and scaling production-grade AI systems for healthcare delivery in low-resource environments. The engineer will design multilingual LLM pipelines supporting Amharic and other Ethiopian languages, ensuring high-quality response generation in clinically sensitive contexts. A major focus is implementing RAG and Graph RAG architectures for structured medical knowledge retrieval and improving hallucination resistance through evaluation frameworks and LLM-as-a-judge systems. The role also involves developing voice-to-voice AI systems, integrating speech recognition and synthesis for frontline health workers operating in low-connectivity regions. Approximately 40% of work involves backend AI architecture and model serving, 30% focuses on multilingual NLP and prompt optimization, and 30% on deployment, DevOps, and system reliability engineering. Core technologies include PyTorch, Hugging Face, LangChain, vector databases, and cloud/on-prem GPU infrastructure. The engineer will also collaborate with Ministry of Health stakeholders to ensure safe, scalable, and context-aware AI deployment.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a technically demanding role requiring deep expertise in both AI research implementation and real-world system deployment. The combination of healthcare constraints, offline-first architecture, and multilingual NLP significantly increases hiring difficulty.

🚀 Career Impact

This role offers strong long-term value through exposure to real-world AI deployment at national scale, particularly in healthcare systems where reliability and safety are critical. Engineers gain rare experience building AI under infrastructure constraints.

📋 Key Responsibilities

The Senior AI Engineer will design and deploy AI-powered healthcare systems supporting frontline workers. Key responsibilities include building multilingual LLM pipelines, developing RAG and Graph RAG systems, and implementing offline-first AI architectures for disconnected environments. The role also requires integrating speech-to-text and text-to-speech systems for voice-based healthcare interactions. Additional responsibilities include optimizing AI inference performance, managing vector databases, and deploying models across cloud and on-prem GPU infrastructure. The engineer will collaborate with public health stakeholders to ensure system reliability, conduct model evaluation and hallucination testing, and improve AI behavior using field feedback loops. Strong emphasis is placed on building secure, scalable, and production-ready AI services.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

Hiring momentum is currently strong with rolling review, indicating continuous candidate intake and evaluation. Expect moderate-to-high applicant volume due to the specialized nature of AI + healthcare + government systems. Interview cycles are likely structured and technical, with potential delays due to stakeholder involvement. Because no fixed deadline is publicly specified, applications may close without notice, increasing urgency. Early applicants typically receive faster screening and higher visibility in the pipeline.

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✅ Job Source & Verification

This listing is sourced directly from Last Mile Health’s official posting. The data reflects a verified publication date of June 11, 2026 and has been cross-checked for consistency as of June 14, 2026. The source is a high-credibility nonprofit global health organization with transparent compensation and hiring practices. Information is current and reflects an actively hiring role in digital health AI engineering.